Triple
T9303533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmanuel Saez |
E223825
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Saez
Saez is the surname of Emmanuel Saez, a prominent French-American economist known for his influential work on income inequality and tax policy.
|
E790052
|
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: Saez | Statement: [Emmanuel Saez, familyName, Saez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saez Context triple: [Emmanuel Saez, familyName, Saez]
-
A.
Sanchez
Sanchez is a common Spanish-origin surname borne by numerous notable individuals across sports, politics, arts, and other fields.
-
B.
Sosa
Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
-
C.
Álvarez
Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
-
D.
Jsu Garcia
Jsu Garcia is an American actor and director known for his roles in films such as "A Nightmare on Elm Street," "Che," and various television series.
-
E.
Alonso Vega
Alonso Vega was an individual notable enough to be interred at Mingorrubio Cemetery in Madrid, Spain.
- 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: Saez Triple: [Emmanuel Saez, familyName, Saez]
Generated description
Saez is the surname of Emmanuel Saez, a prominent French-American economist known for his influential work on income inequality and tax policy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saez Target entity description: Saez is the surname of Emmanuel Saez, a prominent French-American economist known for his influential work on income inequality and tax policy.
-
A.
Sanchez
Sanchez is a common Spanish-origin surname borne by numerous notable individuals across sports, politics, arts, and other fields.
-
B.
Sosa
Sosa is a Spanish-origin surname most famously associated with former Major League Baseball slugger Sammy Sosa.
-
C.
Álvarez
Álvarez is a common Spanish surname borne by numerous notable individuals across the Spanish-speaking world.
-
D.
Jsu Garcia
Jsu Garcia is an American actor and director known for his roles in films such as "A Nightmare on Elm Street," "Che," and various television series.
-
E.
Alonso Vega
Alonso Vega was an individual notable enough to be interred at Mingorrubio Cemetery in Madrid, Spain.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d4c5e48190aa8c744a158e5fbb |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b26ae3c881909e88f0253e73f0ea |
completed | April 4, 2026, 6:40 a.m. |
| NEDg | Description generation | batch_69d0b3ba0bd88190873816ec7e7929a7 |
completed | April 4, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b49ec4c88190a48909e7022d7e60 |
completed | April 4, 2026, 6:50 a.m. |
Created at: March 30, 2026, 7:36 p.m.