Triple
T37581527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Capitan (1960 film) |
E934979
|
entity |
| Predicate | leadComicActor |
P166850
|
FINISHED |
| Object | Bourvil |
—
|
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: Bourvil | Statement: [Le Capitan (1960 film), leadComicActor, Bourvil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadComicActor Context triple: [Le Capitan (1960 film), leadComicActor, Bourvil]
-
A.
leadRoleActor
chosen
Indicates that an actor performs a leading or principal role in a work or production.
-
B.
directorCharacterOf
Indicates that a director is responsible for directing a particular character in a work (e.g., film, TV show, or play).
-
C.
leadActorAlsoCreator
Indicates that the person who plays the lead actor role in a work is also one of its creators.
-
D.
leadActorAlsoVoices
Indicates that the lead actor in a production also provides the voice for a character, typically in an animated or voice-over role.
-
E.
filmLeadCharacter
Indicates that a person or character serves as the primary or central protagonist in a film.
- F. None of above.
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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.