Triple
T38599343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women Are Like That |
E934166
|
entity |
| Predicate | genreOfReferredWork |
P108334
|
FINISHED |
| Object | comic opera |
—
|
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: comic opera | Statement: [Women Are Like That, genreOfReferredWork, comic opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfReferredWork Context triple: [Women Are Like That, genreOfReferredWork, comic opera]
-
A.
isCreativeWorkOfGenre
chosen
Indicates that a creative work belongs to, or is categorized under, a particular genre.
-
B.
referencedInGenre
Indicates that one entity is mentioned, cited, or otherwise referred to within the context of a particular genre.
-
C.
genreOfOriginWork
Indicates that a work is classified under a particular genre based on the genre of its original source work.
-
D.
genreOfWorkDescribedIn
Indicates that a work is characterized as belonging to a particular genre as described in another resource or context.
-
E.
genreOfRecipientWork
Indicates that the specified genre characterizes the work received or referenced in the relationship.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:32 p.m.