Triple
T15434191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourgeois |
E369715
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Daniel Bourgeois
Daniel Bourgeois is a person notable enough to be recognized as a prominent bearer of the surname Bourgeois.
|
E1157405
|
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: Daniel Bourgeois | Statement: [Bourgeois, hasNotableBearer, Daniel Bourgeois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Bourgeois Context triple: [Bourgeois, hasNotableBearer, Daniel Bourgeois]
-
A.
Patrick Blossier
Patrick Blossier is a French cinematographer known for his work on numerous feature films, including collaborations with director Costa-Gavras.
-
B.
Daniel Cordier
Daniel Cordier was a French Resistance fighter, art dealer, and writer who served as secretary to Resistance leader Jean Moulin and later became a prominent historian of the movement.
-
C.
Ian La Frenais
Ian La Frenais is a British screenwriter best known for co-creating classic TV comedies such as "Porridge" and "Auf Wiedersehen, Pet," and for his long-time writing partnership with Dick Clement.
-
D.
David Beaubaire
David Beaubaire is a film producer known for his work on the movie "Fatherhood."
-
E.
Antoine Hennion
Antoine Hennion is a French sociologist known for his influential work on the sociology of culture, music, and mediation.
- 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: Daniel Bourgeois Triple: [Bourgeois, hasNotableBearer, Daniel Bourgeois]
Generated description
Daniel Bourgeois is a person notable enough to be recognized as a prominent bearer of the surname Bourgeois.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Bourgeois Target entity description: Daniel Bourgeois is a person notable enough to be recognized as a prominent bearer of the surname Bourgeois.
-
A.
Patrick Blossier
Patrick Blossier is a French cinematographer known for his work on numerous feature films, including collaborations with director Costa-Gavras.
-
B.
Daniel Cordier
Daniel Cordier was a French Resistance fighter, art dealer, and writer who served as secretary to Resistance leader Jean Moulin and later became a prominent historian of the movement.
-
C.
Ian La Frenais
Ian La Frenais is a British screenwriter best known for co-creating classic TV comedies such as "Porridge" and "Auf Wiedersehen, Pet," and for his long-time writing partnership with Dick Clement.
-
D.
David Beaubaire
David Beaubaire is a film producer known for his work on the movie "Fatherhood."
-
E.
Antoine Hennion
Antoine Hennion is a French sociologist known for his influential work on the sociology of culture, music, and mediation.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a3d1f481908f6795656514b2b4 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff2299ac9481909ad213ff5bb01db3 |
completed | May 9, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2325e6a48190bee256ef8720ba8e |
completed | May 9, 2026, 12:05 p.m. |
Created at: April 10, 2026, 3:21 a.m.