Triple
T28190340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Feel Like Pac / I Feel Like Biggie |
E716287
|
entity |
| Predicate | hasAdlibs |
P32387
|
FINISHED |
| Object | Diddy |
—
|
NE NERFINISHED |
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: Diddy | Statement: [I Feel Like Pac / I Feel Like Biggie, hasAdlibs, Diddy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdlibs Context triple: [I Feel Like Pac / I Feel Like Biggie, hasAdlibs, Diddy]
-
A.
hasImprovisation
Indicates that an entity includes, involves, or is characterized by improvisational elements or unscripted creative actions in relation to another entity or context.
-
B.
hasImprovisationFrom
Indicates that something includes or is derived from an improvisational performance or source.
-
C.
hasVocals
Indicates that the subject includes or features vocal elements, such as singing or spoken voice, rather than being purely instrumental or non-vocal.
-
D.
hasRapVocals
chosen
Indicates that an entity (such as a song, track, or performance) contains rap-style vocal parts or rapping.
-
E.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 10:25 p.m.