Triple
T2123799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Châteauroux |
E43984
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Gil Avérous
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
|
E239990
|
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: Gil Avérous | Statement: [Châteauroux, hasMayor, Gil Avérous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gil Avérous Context triple: [Châteauroux, hasMayor, Gil Avérous]
-
A.
Luc Jobin
Luc Jobin is a Canadian business executive best known for serving as president and CEO of Canadian National Railway and holding senior leadership roles in major international corporations.
-
B.
Paul Seydor
Paul Seydor is a film editor and scholar best known for his work on Sam Peckinpah’s films and his writings on American cinema.
-
C.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
D.
Julien Flegenheimer
Julien Flegenheimer was an architect best known for his role in designing the Palais des Nations, the former League of Nations headquarters in Geneva.
-
E.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
- 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: Gil Avérous Triple: [Châteauroux, hasMayor, Gil Avérous]
Generated description
Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gil Avérous Target entity description: Gil Avérous is a French politician who serves as the mayor of the city of Châteauroux.
-
A.
Luc Jobin
Luc Jobin is a Canadian business executive best known for serving as president and CEO of Canadian National Railway and holding senior leadership roles in major international corporations.
-
B.
Paul Seydor
Paul Seydor is a film editor and scholar best known for his work on Sam Peckinpah’s films and his writings on American cinema.
-
C.
Michael Klein
Michael Klein is the father of Canadian author and activist Naomi Klein.
-
D.
Julien Flegenheimer
Julien Flegenheimer was an architect best known for his role in designing the Palais des Nations, the former League of Nations headquarters in Geneva.
-
E.
Jean-Claude Olivier
Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb55cb2c8190aab8199da3335032 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58cf2a588190a59dc1ae5d684538 |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae599c6b288190b7e173ffc505c605 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a42675c8190a019034e8a6bda21 |
completed | March 9, 2026, 5:27 a.m. |
Created at: March 4, 2026, 7:44 p.m.