Triple
T37714196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coyote |
E939415
|
entity |
| Predicate | hasArtContributor |
P197721
|
FINISHED |
| Object | various comic book artists |
—
|
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: various comic book artists | Statement: [Coyote, hasArtContributor, various comic book artists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtContributor Context triple: [Coyote, hasArtContributor, various comic book artists]
-
A.
hasArtisticAssociationWith
Indicates a relationship in which two entities are connected through shared, collaborative, or thematically related artistic work or influence.
-
B.
hasArtisticAdvisor
Indicates that one entity serves as an artistic advisor, providing artistic guidance or counsel, to another entity.
-
C.
composerOfDepictingWork
Indicates that an entity is the composer of a musical work that is itself a depiction or representation of another entity or subject.
-
D.
hasArtDepartment
Indicates that an entity includes, maintains, or is associated with an art department as one of its organizational units or functional divisions.
-
E.
hasArtisticWorks
Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
| PDg | Predicate description generation | batch_69fea2cfcd648190a15e5b90889095b1 |
completed | May 9, 2026, 2:58 a.m. |
Created at: May 3, 2026, 4:18 p.m.