Triple
T3769304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Selection – Competition |
E82757
|
entity |
| Predicate | filmLengthFocus |
P51033
|
FINISHED |
| Object | feature-length |
—
|
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: feature-length | Statement: [Official Selection – Competition, filmLengthFocus, feature-length]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmLengthFocus Context triple: [Official Selection – Competition, filmLengthFocus, feature-length]
-
A.
filmGauge
Indicates the specific width or size of the film stock used in a motion picture or photographic recording.
-
B.
filmRuntimeMinutes
Indicates the duration of a film expressed in minutes.
-
C.
filmRuntimeApprox
Indicates an approximate or estimated duration of a film, rather than its exact runtime.
-
D.
focalLength
Indicates the distance between a lens or mirror and its focal point, determining how strongly it converges or diverges light.
-
E.
screenplayFocus
Indicates that a screenplay primarily centers on, highlights, or is chiefly concerned with a particular subject, character, or theme.
- F. None of above. chosen
Provenance (4 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2d4b848190bf63fb3ed5d3b2d9 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:35 p.m.