Triple
T23997766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who’s That Girl? (song) |
E594152
|
entity |
| Predicate | hasEarly2000sHipHopSound |
P32387
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Who’s That Girl? (song), hasEarly2000sHipHopSound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEarly2000sHipHopSound Context triple: [Who’s That Girl? (song), hasEarly2000sHipHopSound, true]
-
A.
isEarly2000sHit
Indicates that something achieved notable popularity or success during the early 2000s time period.
-
B.
hasMixtapeEra
Indicates that an artist or creator is associated with a distinct period characterized by the release or prominence of mixtapes.
-
C.
hasRapVocals
chosen
Indicates that an entity (such as a song, track, or performance) contains rap-style vocal parts or rapping.
-
D.
hasMoreMelodicSoundThan
Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another entity.
-
E.
hasBassHeavyProduction
Indicates that the music’s production emphasizes low-frequency sounds, giving it a strong, prominent bass presence.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d39066f8819096d13bfdd0a047fc |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.