Triple
T22347611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Écully |
E552434
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Sébastien Michel
Sébastien Michel is a French local politician serving as the mayor of the commune of Écully, near Lyon.
|
E1538496
|
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: Sébastien Michel | Statement: [Écully, hasMayor, Sébastien Michel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sébastien Michel Context triple: [Écully, hasMayor, Sébastien Michel]
-
A.
Didier Gauthier
Didier Gauthier is an architect known for designing the LaSalle metro station.
-
B.
Michel Clément
Michel Clément was a mountaineer known for being among the first to successfully climb the Alpine peak Grand Combin.
-
C.
Stéphane Célérier
Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
-
D.
Sébastien Mitton
Sébastien Mitton is a French art director and concept artist best known for shaping the distinctive visual style of Arkane Studios’ Dishonored series.
-
E.
Stéphane Séjourné
Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
- 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: Sébastien Michel Triple: [Écully, hasMayor, Sébastien Michel]
Generated description
Sébastien Michel is a French local politician serving as the mayor of the commune of Écully, near Lyon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sébastien Michel Target entity description: Sébastien Michel is a French local politician serving as the mayor of the commune of Écully, near Lyon.
-
A.
Didier Gauthier
Didier Gauthier is an architect known for designing the LaSalle metro station.
-
B.
Michel Clément
Michel Clément was a mountaineer known for being among the first to successfully climb the Alpine peak Grand Combin.
-
C.
Stéphane Célérier
Stéphane Célérier is a French film producer known for backing successful and popular French-language films.
-
D.
Sébastien Mitton
Sébastien Mitton is a French art director and concept artist best known for shaping the distinctive visual style of Arkane Studios’ Dishonored series.
-
E.
Stéphane Séjourné
Stéphane Séjourné is a French politician and Member of the European Parliament closely associated with President Emmanuel Macron’s centrist political movement.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157995bec819080b8d05fa88704ed |
completed | April 29, 2026, 12:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b12441a108190b2a6e863bbb25ac0 |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b14570f4481909e22a19a602a4a97 |
completed | May 18, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b14ce33ac8190b86a346b76f48f7f |
completed | May 18, 2026, 1:31 p.m. |
Created at: April 16, 2026, 8:43 p.m.