Triple
T9913623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Player (1992 film) |
E185807
|
entity |
| Predicate | featuresCameoAppearancesBy |
P90355
|
FINISHED |
| Object | numerous Hollywood actors playing themselves |
—
|
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: numerous Hollywood actors playing themselves | Statement: [The Player (1992 film), featuresCameoAppearancesBy, numerous Hollywood actors playing themselves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCameoAppearancesBy Context triple: [The Player (1992 film), featuresCameoAppearancesBy, numerous Hollywood actors playing themselves]
-
A.
featuresCameoBy
Indicates that a work includes a brief, often special-appearance role performed by the specified person or entity.
-
B.
featuresPerformerCameo
chosen
Indicates that the subject includes a brief, special appearance by a performer who is not part of the main cast or lineup.
-
C.
appearsWithCharacter
Indicates that two characters are shown or present together within the same scene, shot, or context.
-
D.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
-
E.
hasCharacterAppearance
Indicates that a character appears or is visually represented within a given work, scene, or context.
- 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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53a300481909d917e487d8aab56 |
completed | April 2, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:41 p.m.