Triple
T5043671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Asphalt Jungle (role as Dix Handley) |
E113606
|
entity |
| Predicate | filmGenreMovement |
P12614
|
FINISHED |
| Object | classic Hollywood film noir |
—
|
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 film noir | Statement: [The Asphalt Jungle (role as Dix Handley), filmGenreMovement, classic Hollywood film noir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmGenreMovement Context triple: [The Asphalt Jungle (role as Dix Handley), filmGenreMovement, classic Hollywood film noir]
-
A.
filmType
Indicates the specific category or genre that a film belongs to.
-
B.
filmMovement
chosen
Indicates the cinematic movement or stylistic school with which a film is associated.
-
C.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
D.
filmDirection
Indicates that one entity is the director responsible for overseeing the creative and practical aspects of producing the film represented by the other entity.
-
E.
genreWithin
Indicates that one genre is a subgenre or more specific category contained within another, broader genre.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fc04f08190aba851fa0192d0fb |
completed | March 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.