Triple
T23206754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City (setting of Ghost) |
E580477
|
entity |
| Predicate | partOfWorkGenreContext |
P151347
|
FINISHED |
| Object | urban supernatural romance setting |
—
|
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: urban supernatural romance setting | Statement: [New York City (setting of Ghost), partOfWorkGenreContext, urban supernatural romance setting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfWorkGenreContext Context triple: [New York City (setting of Ghost), partOfWorkGenreContext, urban supernatural romance setting]
-
A.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
-
B.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
C.
belongsToWorkGenre
Indicates that a creative work is classified under or associated with a particular genre.
-
D.
genreOfWorkDescribedIn
Indicates that a work is characterized as belonging to a particular genre as described in another resource or context.
-
E.
includedInGenreDefiningWork
Indicates that one entity is part of, or contributes to, a work that is considered foundational or defining for a particular genre.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907cd62c8190afee1e963b170727 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:07 p.m.