Triple
T14690973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where the bee sucks, there suck I |
E345030
|
entity |
| Predicate | belongsToPlayGenre |
P62560
|
FINISHED |
| Object | romance |
—
|
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: romance | Statement: [Where the bee sucks, there suck I, belongsToPlayGenre, romance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPlayGenre Context triple: [Where the bee sucks, there suck I, belongsToPlayGenre, romance]
-
A.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
B.
belongsToWorkGenre
chosen
Indicates that a creative work is classified under or associated with a particular genre.
-
C.
associatedWithGenreElement
Indicates that something has a connection or linkage to a specific genre-related element (such as a motif, convention, or stylistic feature).
-
D.
includedInGenreCollection
Indicates that something is a member of, or contained within, a specific genre-based collection.
-
E.
hasGenreArtist
Indicates that an artist is associated with or specializes in 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.