Triple
T24374405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Chances |
E614426
|
entity |
| Predicate | filmStructure |
P141734
|
FINISHED |
| Object | features extended climactic chase sequence |
—
|
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: features extended climactic chase sequence | Statement: [Seven Chances, filmStructure, features extended climactic chase sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmStructure Context triple: [Seven Chances, filmStructure, features extended climactic chase sequence]
-
A.
hasFilmStructure
chosen
Indicates that one entity possesses or is organized according to the narrative or formal structure of a film.
-
B.
filmicFunction
Indicates the role or purpose that something serves within the structure, style, or narrative function of a film.
-
C.
filmWithinFilm
Indicates that one film is depicted, referenced, or shown as existing within the narrative of another film.
-
D.
filmType
Indicates the specific category or genre that a film belongs to.
-
E.
filmContent
Indicates that one entity is the substantive material or subject matter contained within a film.
- 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_69e2d7e1e010819098b95eb3f905943d |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293d67404819091281523ef12b9b5 |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:02 a.m.