Triple
T7995059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béthune |
E186103
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Olivier Gacquerre
Olivier Gacquerre is a French politician who serves as the mayor of the northern French city of Béthune.
|
E711006
|
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: Olivier Gacquerre | Statement: [Béthune, hasMayor, Olivier Gacquerre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivier Gacquerre Context triple: [Béthune, hasMayor, Olivier Gacquerre]
-
A.
Olivier Bousquet
Olivier Bousquet is a French computer scientist and machine learning researcher known for his work on statistical learning theory and his leadership roles in industry AI research.
-
B.
Didier Hoarau
Didier Hoarau is a film producer known for his work on the action thriller movie "Taken."
-
C.
Albert Dupontel
Albert Dupontel is a French actor, screenwriter, and film director known for his darkly comic, inventive films such as "9 Month Stretch" and "Bye Bye Morons."
-
D.
Laurent Rossi
Laurent Rossi is the son of famed French singer and actor Tino Rossi, known primarily for his connection to his father's legacy in French popular culture.
-
E.
Thierry Dusautoir
Thierry Dusautoir is a former French rugby union flanker renowned for captaining France, his exceptional tackling work rate, and his key role in major international and club successes.
- 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: Olivier Gacquerre Triple: [Béthune, hasMayor, Olivier Gacquerre]
Generated description
Olivier Gacquerre is a French politician who serves as the mayor of the northern French city of Béthune.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olivier Gacquerre Target entity description: Olivier Gacquerre is a French politician who serves as the mayor of the northern French city of Béthune.
-
A.
Olivier Bousquet
Olivier Bousquet is a French computer scientist and machine learning researcher known for his work on statistical learning theory and his leadership roles in industry AI research.
-
B.
Didier Hoarau
Didier Hoarau is a film producer known for his work on the action thriller movie "Taken."
-
C.
Albert Dupontel
Albert Dupontel is a French actor, screenwriter, and film director known for his darkly comic, inventive films such as "9 Month Stretch" and "Bye Bye Morons."
-
D.
Laurent Rossi
Laurent Rossi is the son of famed French singer and actor Tino Rossi, known primarily for his connection to his father's legacy in French popular culture.
-
E.
Thierry Dusautoir
Thierry Dusautoir is a former French rugby union flanker renowned for captaining France, his exceptional tackling work rate, and his key role in major international and club successes.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c7547dc8190a60a06b3d61764b0 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63bcae048190a3fd151b2d8f9f77 |
completed | April 1, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_69cc64bd6a088190b77e2709c76579e4 |
completed | April 1, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc66b0e1548190840e4335ff2b130f |
completed | April 1, 2026, 12:28 a.m. |
Created at: March 30, 2026, 5:17 p.m.