Triple
T33393401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Wayne as Rooster Cogburn |
E855109
|
entity |
| Predicate | coStarInTrueGrit |
P14987
|
FINISHED |
| Object | Kim Darby |
—
|
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: Kim Darby | Statement: [John Wayne as Rooster Cogburn, coStarInTrueGrit, Kim Darby]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coStarInTrueGrit Context triple: [John Wayne as Rooster Cogburn, coStarInTrueGrit, Kim Darby]
-
A.
co-star
chosen
Indicates that two or more performers appear together in the same production, sharing significant acting roles.
-
B.
Pendleton Round-Up
Indicates a recurring rodeo and western-themed event or competition taking place at or associated with the Pendleton Round-Up.
-
C.
starIs
Indicates that one entity is identified or classified as a star in relation to another entity or context.
-
D.
notableCoStarInWork
Indicates that two people are notable co-stars who appeared together in the same work (such as a film, series, or performance).
-
E.
isPrimaryStarOf
Indicates that a star serves as the main or central stellar object in relation to a specified system, object, or context.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.