Triple
T19828739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Duvall as Boss Spearman |
E476397
|
entity |
| Predicate | associatedActorFilmographyContext |
P15620
|
FINISHED |
| Object | oneOfRobertDuvallNotableRoles |
—
|
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: oneOfRobertDuvallNotableRoles | Statement: [Robert Duvall as Boss Spearman, associatedActorFilmographyContext, oneOfRobertDuvallNotableRoles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedActorFilmographyContext Context triple: [Robert Duvall as Boss Spearman, associatedActorFilmographyContext, oneOfRobertDuvallNotableRoles]
-
A.
filmAssociatedWith
Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
-
B.
associatedWithLeadActorOfFilm
Indicates a relationship where one entity is connected or linked in some relevant way to the lead actor of a specified film.
-
C.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
D.
partOfFilmographyOf
chosen
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
-
E.
followsInFilmography
Indicates that one work in a person’s filmography comes after another in chronological or credited order.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ccd3748190adeaed9a431f8979 |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.