Triple
T19545554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brut Productions |
E489037
|
entity |
| Predicate | backedGenre |
P83033
|
FINISHED |
| Object | offbeat films |
—
|
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: offbeat films | Statement: [Brut Productions, backedGenre, offbeat films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backedGenre Context triple: [Brut Productions, backedGenre, offbeat films]
-
A.
bearerGenre
Indicates that an entity (the bearer) is associated with or characterized by a particular genre.
-
B.
supportedGenre
Indicates that an entity (such as a system, service, or tool) is capable of handling, providing, or working with a specified genre.
-
C.
usedGenre
chosen
Indicates that one entity employs or is associated with a particular genre in its creation, presentation, or classification.
-
D.
servedGenre
Indicates that a service, venue, or provider offers or specializes in a particular genre (such as a style, category, or type of content).
-
E.
genreIncludes
Indicates that a broader genre category encompasses or contains a specified subgenre or work as part of its classification.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.