Triple
T21705503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood of the East |
E535761
|
entity |
| Predicate | producedGenres |
P35848
|
FINISHED |
| Object | drama 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: drama films | Statement: [Hollywood of the East, producedGenres, drama films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedGenres Context triple: [Hollywood of the East, producedGenres, drama 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.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
C.
combinesGenre
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
-
D.
workedOnGenre
Indicates that an entity (such as a person or organization) has done work related to a particular genre.
-
E.
publishedGenre
Indicates that an entity has been published in, or is associated with, a particular genre.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52f64c48190b5d59561999e922f |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:46 p.m.