Triple
T1181010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beaver |
E25135
|
entity |
| Predicate | leadActorCareerContext |
P6709
|
FINISHED |
| Object | one of Mel Gibson's first major roles after public controversies |
—
|
LITERAL 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: one of Mel Gibson's first major roles after public controversies | Statement: [The Beaver, leadActorCareerContext, one of Mel Gibson's first major roles after public controversies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorCareerContext Context triple: [The Beaver, leadActorCareerContext, one of Mel Gibson's first major roles after public controversies]
-
A.
starredActor
Indicates that an actor performed a leading or significant role in a particular production or work.
-
B.
followedByRoleInCareerOf
chosen
Indicates that one role or position directly succeeds another in the sequence of roles within a single entity’s career.
-
C.
leadActorLaterOffice
Indicates that an individual who was the lead actor in a work later held a formal office or official position.
-
D.
leadActress
Indicates that the subject is the primary female performer in the specified film, show, or production.
-
E.
alsoKnownFor
Indicates that an entity is additionally recognized or noted for another work, role, achievement, or characteristic beyond its primary association.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.