Triple
T13277200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Yanne |
E316221
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean Yanne |
E316221
|
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: Jean Yanne | Statement: [Jean Yanne, name, Jean Yanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Yanne Context triple: [Jean Yanne, name, Jean Yanne]
-
A.
Jean Yanne
chosen
Jean Yanne was a French actor, filmmaker, humorist, and satirist known for his provocative wit and roles in both popular comedies and auteur cinema.
-
B.
Jean-Marc Barr
Jean-Marc Barr is a French-American actor and director best known for his leading role in "The Big Blue" and frequent collaborations with filmmaker Lars von Trier.
-
C.
Yannick Bisson
Yannick Bisson is a Canadian actor best known for starring as Detective William Murdoch in the long-running television series "Murdoch Mysteries."
-
D.
Louis Vergniaud Pierre-Noel
Louis Vergniaud Pierre-Noel was a Haitian graphic designer and artist best known as the husband of African-American painter Loïs Mailou Jones.
-
E.
René Giraud
René Giraud is a French former cyclist who competed in the 1952 Summer Olympics.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.