Triple
T136225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Barra |
E2752
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Barra
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
|
E19261
|
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: Barra | Statement: [Mary Barra, familyName, Barra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barra Context triple: [Mary Barra, familyName, Barra]
-
A.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
-
B.
Castro Marim
Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
-
C.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
D.
Hanga Roa
Hanga Roa is the main town and only significant urban center on Easter Island, serving as its administrative, cultural, and tourism hub.
-
E.
Malecón
Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
- 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: Barra Triple: [Mary Barra, familyName, Barra]
Generated description
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barra Target entity description: Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
-
A.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
-
B.
Castro Marim
Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
-
C.
Ovalle
Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
-
D.
Hanga Roa
Hanga Roa is the main town and only significant urban center on Easter Island, serving as its administrative, cultural, and tourism hub.
-
E.
Malecón
Malecón is a famous seaside promenade and seawall in Havana, Cuba, known for its ocean views, social life, and historic architecture.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a4edf081908c494c8370c76b9a |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d0c31ca88190981c66f7a3da0528 |
completed | Feb. 28, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_69a2d188d5c481909db6fe154c769213 |
completed | Feb. 28, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2d1fc07f481908046568ba44006f1 |
completed | Feb. 28, 2026, 11:31 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.