Triple
T15287593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Commission led by Ursula von der Leyen |
E365440
|
entity |
| Predicate | includesPosition |
P1393
|
FINISHED |
| Object |
Executive Vice-President for An Economy that Works for People
The Executive Vice-President for An Economy that Works for People is a senior European Commission role responsible for steering EU economic, financial, and social policies to promote a fair, sustainable, and inclusive economy.
|
E1148935
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Executive Vice-President for An Economy that Works for People | Statement: [European Commission led by Ursula von der Leyen, includesPosition, Executive Vice-President for An Economy that Works for People]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Executive Vice-President for An Economy that Works for People Context triple: [European Commission led by Ursula von der Leyen, includesPosition, Executive Vice-President for An Economy that Works for People]
-
A.
The City That Works
"The City That Works" is a civic motto highlighting Portland, Oregon’s reputation for effective local governance, urban planning, and livability.
-
B.
WEconomy: You Can Find Meaning, Make A Living, and Change the World
WEconomy: You Can Find Meaning, Make A Living, and Change the World is a business and social impact book that guides readers on integrating purpose and profit to build careers and companies that create positive global change.
-
C.
From the Ground Up: A Journey to Reimagine the Promise of America
"From the Ground Up: A Journey to Reimagine the Promise of America" is a memoir by former Starbucks CEO Howard Schultz that blends his personal story with reflections on business, leadership, and social responsibility in the United States.
-
D.
Economics for the Common Good
Economics for the Common Good is a book by Nobel laureate Jean Tirole that explains how modern economic thinking can be used to address major social challenges and improve public policy.
-
E.
Good Economics for Hard Times
Good Economics for Hard Times is a popular economics book by Nobel laureates Abhijit V. Banerjee and Esther Duflo that examines contemporary social and economic challenges through rigorous empirical research and accessible analysis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Executive Vice-President for An Economy that Works for People Triple: [European Commission led by Ursula von der Leyen, includesPosition, Executive Vice-President for An Economy that Works for People]
Generated description
The Executive Vice-President for An Economy that Works for People is a senior European Commission role responsible for steering EU economic, financial, and social policies to promote a fair, sustainable, and inclusive economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Executive Vice-President for An Economy that Works for People Target entity description: The Executive Vice-President for An Economy that Works for People is a senior European Commission role responsible for steering EU economic, financial, and social policies to promote a fair, sustainable, and inclusive economy.
-
A.
The City That Works
"The City That Works" is a civic motto highlighting Portland, Oregon’s reputation for effective local governance, urban planning, and livability.
-
B.
WEconomy: You Can Find Meaning, Make A Living, and Change the World
WEconomy: You Can Find Meaning, Make A Living, and Change the World is a business and social impact book that guides readers on integrating purpose and profit to build careers and companies that create positive global change.
-
C.
From the Ground Up: A Journey to Reimagine the Promise of America
"From the Ground Up: A Journey to Reimagine the Promise of America" is a memoir by former Starbucks CEO Howard Schultz that blends his personal story with reflections on business, leadership, and social responsibility in the United States.
-
D.
Economics for the Common Good
Economics for the Common Good is a book by Nobel laureate Jean Tirole that explains how modern economic thinking can be used to address major social challenges and improve public policy.
-
E.
Good Economics for Hard Times
Good Economics for Hard Times is a popular economics book by Nobel laureates Abhijit V. Banerjee and Esther Duflo that examines contemporary social and economic challenges through rigorous empirical research and accessible analysis.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e551bb0819094db097285443740 |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7b73a08190b06856c05ea8c80d |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef38868548190877cf25a38bb805a |
completed | May 9, 2026, 8:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef435b1208190bd839297a2f8d3f4 |
completed | May 9, 2026, 8:45 a.m. |
Created at: April 10, 2026, 3:15 a.m.