Triple
T29470949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borom Sarret |
E747504
|
entity |
| Predicate | hasShortFilmLength |
P177333
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Borom Sarret, hasShortFilmLength, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShortFilmLength Context triple: [Borom Sarret, hasShortFilmLength, true]
-
A.
hasCinematicShort
Indicates that an entity is associated with or includes a cinematic short film or short-form cinematic content.
-
B.
hasShortFilmSeries
Indicates that an entity is associated with or includes a series of short films.
-
C.
hasShortFilmAttachedInTheaters
Indicates that a film is accompanied by a specific short film when shown in theaters.
-
D.
filmLength
Indicates the duration or running time of a film, typically measured in units such as minutes.
-
E.
hasShortFilmPrecursor
Indicates that a work is preceded by a short film that serves as an earlier or foundational version of it.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 28, 2026, 3:57 p.m.