Triple
T34436405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Give Up |
E883966
|
entity |
| Predicate | includedInGenreTransition |
P48698
|
FINISHED |
| Object | Diana Ross’s move toward contemporary pop and R&B sound |
—
|
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: Diana Ross’s move toward contemporary pop and R&B sound | Statement: [Give Up, includedInGenreTransition, Diana Ross’s move toward contemporary pop and R&B sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedInGenreTransition Context triple: [Give Up, includedInGenreTransition, Diana Ross’s move toward contemporary pop and R&B sound]
-
A.
hasGenreTransition
chosen
Indicates a change or shift from one genre to another within a work, series, or creative progression.
-
B.
includedInGenreCollection
Indicates that something is a member of, or contained within, a specific genre-based collection.
-
C.
hasAdaptedGenre
Indicates that one work has been adapted into another work belonging to a different or specific genre.
-
D.
hasGenreRevivalEffectOn
Indicates that one genre contributes to the renewed popularity, resurgence, or revitalization of another genre.
-
E.
isSeparatedByGenre
Indicates that entities are divided or distinguished from each other based on their genre classification.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2 a.m.