Triple
T9578337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomerang |
E231104
|
entity |
| Predicate | featuresCastEnsemble |
P31694
|
FINISHED |
| Object | predominantly African-American cast |
—
|
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: predominantly African-American cast | Statement: [Boomerang, featuresCastEnsemble, predominantly African-American cast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCastEnsemble Context triple: [Boomerang, featuresCastEnsemble, predominantly African-American cast]
-
A.
featuresCast
Indicates that a creative work includes a particular person or group as part of its cast.
-
B.
featuresCastFrom
Indicates that a work (such as a film or show) includes a cast member who originates from a specified source or production.
-
C.
featuresCastType
Indicates that one entity includes or highlights a particular type or category of cast (e.g., actors or performers) associated with it.
-
D.
featureCrew
Indicates that a particular crew member is highlighted or designated as a featured participant within a crew-related context.
-
E.
hasEnsembleCast
chosen
Indicates that a work features an ensemble cast, meaning multiple principal performers share roughly equal prominence rather than having a single clear lead.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:05 p.m.