Triple
T31133665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dark World |
E793578
|
entity |
| Predicate | uncreditedCollaborator |
P171182
|
FINISHED |
| Object | C. L. Moore |
—
|
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: C. L. Moore | Statement: [The Dark World, uncreditedCollaborator, C. L. Moore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uncreditedCollaborator Context triple: [The Dark World, uncreditedCollaborator, C. L. Moore]
-
A.
uncreditedProducer
Indicates that an entity served as a producer for a work but was not formally credited in that role.
-
B.
hasNotableUncreditedContribution
Indicates that an entity made a significant contribution to another entity or work that is not formally credited or acknowledged.
-
C.
uncreditedDirector
Indicates that a person directed a work but was not officially credited as its director.
-
D.
uncreditedScreenwriter
Indicates that a person contributed to writing a screenplay for a work but was not officially credited as a screenwriter.
-
E.
hasUncreditedBitRole
Indicates that an entity appears in a minor, typically small or background role in a production without receiving on-screen credit.
- F. None of above. chosen
Provenance (4 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6e0b888190a417ae712c42db0d |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:05 p.m.