Triple
T19098256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Benchetrit |
E467462
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Chien |
—
|
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: Chien | Statement: [Samuel Benchetrit, directed, Chien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chien Context triple: [Samuel Benchetrit, directed, Chien]
-
A.
Chien
chosen
Chien is a French film written and directed by Samuel Benchetrit, known for its darkly comic and absurd exploration of human degradation and identity.
-
B.
Chien
Chien is a Chinese surname shared by various notable individuals across fields such as science, politics, and the arts.
-
C.
Chanteau
Chanteau is a fictional French family name most notably associated with characters in Émile Zola’s novel "La Joie de vivre."
-
D.
Canini
Canini is a biological tribe within the dog family (Canidae) that includes wolves, domestic dogs, jackals, and closely related canids.
-
E.
Shiba
Shiba is a central district in Minato, Tokyo, known for its mix of historic temples, business centers, and residential areas.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36b279c819091a8d51f044bc644 |
completed | April 20, 2026, 8:27 a.m. |
Created at: April 10, 2026, 12:04 p.m.