Triple
T19108458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humphrey Bogart as George Hally |
E467721
|
entity |
| Predicate | belongsToFilmMovement |
P12614
|
FINISHED |
| Object | classic Hollywood cinema |
—
|
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: classic Hollywood cinema | Statement: [Humphrey Bogart as George Hally, belongsToFilmMovement, classic Hollywood cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToFilmMovement Context triple: [Humphrey Bogart as George Hally, belongsToFilmMovement, classic Hollywood cinema]
-
A.
inheritedByInFilm
Indicates that a character, role, or attribute is passed on or taken over by another character within the narrative of a film.
-
B.
ownedByInFilm
Indicates that one entity is portrayed as being owned or possessed by another entity within the context of a specific film.
-
C.
belongsToFilmCategory
Indicates that a film is classified under a particular film category or genre.
-
D.
isPartOfGenreMovement
Indicates that an entity belongs to, or is associated with, a particular artistic or cultural genre movement.
-
E.
filmMovement
chosen
Indicates the cinematic movement or stylistic school with which a film is associated.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e391f00c8190881a5977dd3728ed |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.