Triple
T30650418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Hargrave |
E780240
|
entity |
| Predicate | stuntCoordinatorFor |
P161053
|
FINISHED |
| Object | Marvel Cinematic Universe |
—
|
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: Marvel Cinematic Universe | Statement: [Sam Hargrave, stuntCoordinatorFor, Marvel Cinematic Universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stuntCoordinatorFor Context triple: [Sam Hargrave, stuntCoordinatorFor, Marvel Cinematic Universe]
-
A.
stuntCoordinatorOn
chosen
Indicates that one entity serves as the stunt coordinator responsible for designing and overseeing stunts on a particular production or project involving another entity.
-
B.
stuntPerformerIn
Indicates that one entity serves as a stunt performer in a work, production, or performance associated with another entity.
-
C.
hasStuntDouble
Indicates that one entity serves as a stunt double who performs dangerous or physically demanding actions on behalf of another entity.
-
D.
rescueCoordinatedBy
Indicates that a rescue operation is organized, directed, or managed by a particular coordinating entity.
-
E.
offensiveCoordinatorInFilm
Indicates that a person serves as the offensive coordinator (responsible for directing the offense) within the context of a particular 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a975e1c81909d7424ae7af3410b |
completed | May 2, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:30 p.m.