Triple
T5528246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Score for "Since You Went Away" |
E144978
|
entity |
| Predicate | approximateFilmRuntimeContext |
P36872
|
FINISHED |
| Object | feature-length motion picture |
—
|
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 motion picture | Statement: [Score for "Since You Went Away", approximateFilmRuntimeContext, feature-length motion picture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateFilmRuntimeContext Context triple: [Score for "Since You Went Away", approximateFilmRuntimeContext, feature-length motion picture]
-
A.
filmRuntimeApprox
chosen
Indicates an approximate or estimated duration of a film, rather than its exact runtime.
-
B.
filmRuntimeMinutes
Indicates the duration of a film expressed in minutes.
-
C.
filmLength
Indicates the duration or running time of a film, typically measured in units such as minutes.
-
D.
featureLengthFilm
Indicates that the subject is a film whose running time meets or exceeds the standard length considered to be a feature film.
-
E.
extendedEditionRuntimeMinutes
Indicates the duration, measured in minutes, of the extended edition version of a work.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f8b6c348190b7d414dc1907d09a |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0a06348190b39ac9fe80d2836a |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.