Triple
T1687569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Barras |
E36477
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Barras
Barras is a French surname most notably associated with Paul Barras, a leading political figure of the French Revolution and the Directory.
|
E191753
|
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: Barras | Statement: [Paul Barras, familyName, Barras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barras Context triple: [Paul Barras, familyName, Barras]
-
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.
Barra
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
-
C.
De Barra
De Barra is a variant form of the name Barra, typically used as a surname or family name in Irish and Scottish contexts.
-
D.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
E.
Canóvanas
Canóvanas is a municipality in northeastern Puerto Rico known for its proximity to San Juan and its blend of suburban communities with rural, mountainous landscapes.
- 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: Barras Triple: [Paul Barras, familyName, Barras]
Generated description
Barras is a French surname most notably associated with Paul Barras, a leading political figure of the French Revolution and the Directory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barras Target entity description: Barras is a French surname most notably associated with Paul Barras, a leading political figure of the French Revolution and the Directory.
-
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.
Barra
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
-
C.
De Barra
De Barra is a variant form of the name Barra, typically used as a surname or family name in Irish and Scottish contexts.
-
D.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
E.
Canóvanas
Canóvanas is a municipality in northeastern Puerto Rico known for its proximity to San Juan and its blend of suburban communities with rural, mountainous landscapes.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6294f5ac819089cf5c2530ec71a0 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad79901458819098f0be72d9d4a9bb |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad81f90e948190b83078523b1cf3f8 |
completed | March 8, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad82755910819087aa9940dc1e7495 |
completed | March 8, 2026, 2:06 p.m. |
Created at: March 4, 2026, 7:29 p.m.