Triple
T216234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gaucho |
E4110
|
entity |
| Predicate | hasFilmFormat |
P5128
|
FINISHED |
| Object | black-and-white |
—
|
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: black-and-white | Statement: [The Gaucho, hasFilmFormat, black-and-white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmFormat Context triple: [The Gaucho, hasFilmFormat, black-and-white]
-
A.
hasHomeMediaRelease
Indicates that a work has been released in a home media format (such as DVD, Blu-ray, or digital home release).
-
B.
hasPublishingFormat
chosen
Indicates that an entity is associated with a specific format or medium in which it is published or made publicly available.
-
C.
hasDigitalEncoding
Indicates that one entity is represented, stored, or expressed using a specific digital code or encoding scheme provided by another entity.
-
D.
televisionFilm
Indicates that the subject is a television film (a movie produced for or originally distributed via television).
-
E.
filmingTechnique
Indicates the specific method or style used to capture visual content during the filming process.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25dcd2b208190855d5d8d70a3acfc |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b52190481908f299d26122bafd2 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.