Triple
T33504880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fighter |
E858084
|
entity |
| Predicate | awardRecipientSupportingActor |
P8117
|
FINISHED |
| Object | Christian Bale |
—
|
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: Christian Bale | Statement: [The Fighter, awardRecipientSupportingActor, Christian Bale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardRecipientSupportingActor Context triple: [The Fighter, awardRecipientSupportingActor, Christian Bale]
-
A.
supportingActorAwardRecipient
Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
-
B.
bestSupportingActorWinner
chosen
Indicates that an entity has received the award for Best Supporting Actor for a particular work or event.
-
C.
supportingActorNominee
Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
-
D.
bestSupportingActorWinningFilm
Indicates that a film is the one for which an actor won the Best Supporting Actor award.
-
E.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 1, 2026, 1:38 a.m.