Triple
T20478512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werc Werk Works |
E502387
|
entity |
| Predicate | typeOfFilmsProduced |
P35848
|
FINISHED |
| Object | art-house 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: art-house films | Statement: [Werc Werk Works, typeOfFilmsProduced, art-house films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFilmsProduced Context triple: [Werc Werk Works, typeOfFilmsProduced, art-house films]
-
A.
producedFilmType
chosen
Indicates that an entity (such as a person or organization) was responsible for producing a film of a specified type or category.
-
B.
filmProductionType
Indicates the specific kind or category of production under which a film was made (e.g., feature, short, documentary, TV movie).
-
C.
notableProductionType
Indicates that the subject is particularly known for producing or creating instances of the specified type.
-
D.
producedFilm
Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
-
E.
numberOfFilmsProduced
Indicates the total count of films that an entity has produced.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b54c8188190a71e35fab8d194a6 |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:34 a.m.