Triple
T18139969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samba |
E434234
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Hélène Vincent |
—
|
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: Hélène Vincent | Statement: [Samba, castMember, Hélène Vincent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hélène Vincent Context triple: [Samba, castMember, Hélène Vincent]
-
A.
Hélène Vincent
chosen
Hélène Vincent is a French actress and theatre director known for her work in film, television, and on stage, including roles in acclaimed European dramas.
-
B.
Hélène Courtois
Hélène Courtois is a French astrophysicist known for her work in cosmography and for leading the team that identified and mapped the Laniakea Supercluster of galaxies.
-
C.
Hélène Régnier
Hélène Régnier is the embattled mother at the center of Claude Chabrol’s film "La Rupture," whose struggle for custody of her son drives the psychological and social drama of the story.
-
D.
Hélène Daville
Hélène Daville is a central fictional character in Claude Chabrol’s psychological thriller film "Le Boucher," around whom much of the story’s tension and mystery revolves.
-
E.
Hélène Duc
Hélène Duc was a French actress known for her work in film, television, and theater, particularly active 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.