Triple
T33799717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get Carter (2000 film) |
E866178
|
entity |
| Predicate | characterPlayedBySylvesterStallone |
P9616
|
FINISHED |
| Object | Jack Carter |
—
|
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: Jack Carter | Statement: [Get Carter (2000 film), characterPlayedBySylvesterStallone, Jack Carter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedBySylvesterStallone Context triple: [Get Carter (2000 film), characterPlayedBySylvesterStallone, Jack Carter]
-
A.
characterPlayedByMarlonBrando
Indicates that the character in question is portrayed or acted by Marlon Brando.
-
B.
characterInFilmReleasedIn
Indicates that a character appears in a film that was released in a specified year or time period.
-
C.
characterPlayedBy_Charles Bronson
Indicates that a given character is portrayed or acted by Charles Bronson.
-
D.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
E.
characterPlayedByJasonStatham
Indicates that the subject is a character portrayed by the actor Jason Statham.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff5285ed74819097e6e2a9084a079a |
completed | May 9, 2026, 3:28 p.m. |
| PD | Predicate disambiguation | batch_69ff51fbe28881908ac8417dff9db81a |
completed | May 9, 2026, 3:25 p.m. |
Created at: May 1, 2026, 1:46 a.m.