Triple
T11319043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolph Caesar |
E268042
|
entity |
| Predicate | performedAsNarrator |
P17575
|
FINISHED |
| Object | movie trailers for Blaxploitation films |
—
|
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: movie trailers for Blaxploitation films | Statement: [Adolph Caesar, performedAsNarrator, movie trailers for Blaxploitation films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedAsNarrator Context triple: [Adolph Caesar, performedAsNarrator, movie trailers for Blaxploitation films]
-
A.
narratorOf
chosen
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
-
B.
narratorRole
Indicates that one entity serves as the narrator of another entity (such as a story, text, or media work), specifying the narrative role or function it performs.
-
C.
describedByNarrator
Indicates that something is presented or explained through the perspective or voice of a narrator.
-
D.
narratorIn
Indicates that one entity serves as the narrator or storytelling voice within the context of another entity (such as a work, scene, or narrative segment).
-
E.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.