Triple
T16048587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Edward Grant |
E389288
|
entity |
| Predicate | collaborationSubject |
P46299
|
FINISHED |
| Object | John Wayne Western films |
—
|
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: John Wayne Western films | Statement: [James Edward Grant, collaborationSubject, John Wayne Western films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collaborationSubject Context triple: [James Edward Grant, collaborationSubject, John Wayne Western films]
-
A.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
B.
collaborationAspect
Indicates a specific characteristic, dimension, or feature of how entities collaborate or work together.
-
C.
topicOfAcademicCollaboration
Indicates that the entities are partners in a shared academic research or scholarly collaboration.
-
D.
collaborativeWork
Indicates a relationship where two or more entities jointly contribute effort or resources toward a shared task, project, or goal.
-
E.
subjectOfProject
chosen
Indicates that an entity serves as the main focus, topic, or target of a particular project.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.