Triple
T1297623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kid |
E27688
|
entity |
| Predicate | hasFilmPosterDesigner |
P12117
|
FINISHED |
| Object | unknown |
—
|
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: unknown | Statement: [The Kid, hasFilmPosterDesigner, unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmPosterDesigner Context triple: [The Kid, hasFilmPosterDesigner, unknown]
-
A.
hasFilmPoster
Indicates that one entity serves as the film poster associated with another film entity.
-
B.
designedBy
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
C.
designerOccupation
chosen
Indicates that one entity serves as the professional designer or design specialist for another entity.
-
D.
coArtisticDirectorWith
Indicates that two individuals share the role and responsibilities of artistic director together within the same organization or project.
-
E.
majorWorkCreator
Indicates that the subject is the primary creator or author responsible for the major work represented by the object.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.