Triple
T16264086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Didier Berger |
E394828
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean-Didier Berger |
—
|
NE NERFINISHED |
How this triple was built (2 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: Jean-Didier Berger | Statement: [Jean-Didier Berger, name, Jean-Didier Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Didier Berger Context triple: [Jean-Didier Berger, name, Jean-Didier Berger]
-
A.
Jean-Didier Berger
chosen
Jean-Didier Berger is a French politician best known for serving as the mayor of the Paris suburb of Clamart.
-
B.
Gérard Lopez
Gérard Lopez is a Luxembourgish-Spanish businessman and investor known for owning and leading several European football clubs, including Girondins de Bordeaux and previously Lille OSC.
-
C.
Alain Levent
Alain Levent was a French cinematographer known for his work on influential 1960s and 1970s films, particularly within the French New Wave and art-house cinema.
-
D.
Yves Jégo
Yves Jégo is a French politician known for his roles in the National Assembly and government, particularly on the center-right of the political spectrum.
-
E.
Alain Poiré
Alain Poiré was a prominent French film producer known for his extensive work on popular comedies and major French cinema hits in the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c672248190a4261be4696d52c5 |
completed | April 17, 2026, 2:37 p.m. |
Created at: April 10, 2026, 5:04 a.m.