Triple
T28077111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Poke Her Face |
E709572
|
entity |
| Predicate | referencedInGenre |
P180861
|
FINISHED |
| Object | hip hop |
—
|
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: hip hop | Statement: [I Poke Her Face, referencedInGenre, hip hop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referencedInGenre Context triple: [I Poke Her Face, referencedInGenre, hip hop]
-
A.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
B.
coveredInGenre
Indicates that a work or item is associated with, categorized under, or treated within a particular genre.
-
C.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
D.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
-
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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
| PDg | Predicate description generation | batch_69f75788d40c819083bf2567b3091585 |
completed | May 3, 2026, 2:11 p.m. |
Created at: April 27, 2026, 8:49 p.m.