Triple
T26622636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Coffin III |
E668242
|
entity |
| Predicate | portrayedIn2005FilmAdaptationBy |
P177716
|
FINISHED |
| Object | Taye Diggs |
—
|
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: Taye Diggs | Statement: [Benjamin Coffin III, portrayedIn2005FilmAdaptationBy, Taye Diggs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedIn2005FilmAdaptationBy Context triple: [Benjamin Coffin III, portrayedIn2005FilmAdaptationBy, Taye Diggs]
-
A.
portrayedInAdaptationOf
Indicates that an entity is depicted as a character or role within an adaptation (such as a film, series, or game) that is based on another original work.
-
B.
isPortrayedIn
chosen
Indicates that an entity is depicted or represented within a particular work, medium, or portrayal.
-
C.
portrayedInFilmDirectedBy
Indicates that one entity is portrayed as a character in a film that is directed by another specified entity.
-
D.
adaptedIntoFilmStarring
Indicates that a work has been adapted into a film in which a specified actor or set of actors star.
-
E.
portrayedIn1953FilmBy
Indicates that an entity (typically a person or character) was depicted or played by another entity in a film released in the year 1953.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 27, 2026, 2:21 a.m.