Triple
T28129942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Warhol’s Exploding Plastic Inevitable |
E711036
|
entity |
| Predicate | usedFilmBy |
P64128
|
FINISHED |
| Object | Andy Warhol |
—
|
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: Andy Warhol | Statement: [Andy Warhol’s Exploding Plastic Inevitable, usedFilmBy, Andy Warhol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedFilmBy Context triple: [Andy Warhol’s Exploding Plastic Inevitable, usedFilmBy, Andy Warhol]
-
A.
hasTypeOfUseInFilm
Indicates that something is associated with a specific manner or category of use within the context of a film.
-
B.
usedInProductionOfFilm
chosen
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
-
C.
wasUsedBy
Indicates that something served as a tool, resource, or means for an agent to perform an action or achieve a result.
-
D.
usedInTheatre
Indicates that something is employed or applied within the context of a theatre or theatrical production.
-
E.
usedByDirector
Indicates that something (such as a resource, tool, or method) is utilized or employed by a director in their work or activities.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 9:22 p.m.