Triple
T16875910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Rupture |
E421297
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Michel Bouquet |
E823339
|
NE FINISHED |
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: Michel Bouquet | Statement: [La Rupture, starredActor, Michel Bouquet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Bouquet Context triple: [La Rupture, starredActor, Michel Bouquet]
-
A.
Michel Bouquet
chosen
Michel Bouquet was a renowned French actor celebrated for his nuanced performances in theatre and film over a career spanning more than six decades.
-
B.
Georges Benoît
Georges Benoît was a French cinematographer active in early 20th-century cinema, known for his work on both European and American films.
-
C.
René Azaire
René Azaire is a character in Sebastian Faulks's novel "Birdsong," depicted as the wealthy, authoritarian husband of Isabelle Azaire in pre–World War I France.
-
D.
Pierre Fresnay
Pierre Fresnay was a prominent French stage and film actor known for his refined performances in classics such as "Marius" and "La Grande Illusion."
-
E.
Jean-Luc Ourgaud
Jean-Luc Ourgaud is a French local politician who serves as the mayor of the suburban commune of Montigny-le-Bretonneux, near Paris.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbfd6898819083871544c119557c |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:29 a.m.