Triple
T33266780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Video Phone (Extended Remix) |
E851671
|
entity |
| Predicate | hasBeatEmphasis |
P17414
|
FINISHED |
| Object | dancefloor-oriented |
—
|
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: dancefloor-oriented | Statement: [Video Phone (Extended Remix), hasBeatEmphasis, dancefloor-oriented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeatEmphasis Context triple: [Video Phone (Extended Remix), hasBeatEmphasis, dancefloor-oriented]
-
A.
hasBeat
Indicates that one entity has defeated or surpassed another in a competitive or comparative context.
-
B.
hasEmphasis
chosen
Indicates that one element is given special stress, importance, or prominence relative to others.
-
C.
hasNotableBeat
Indicates that an entity (such as a journalist or reporter) is professionally assigned to cover a specific topic, area, or subject as their primary reporting focus.
-
D.
usesBeatType
Indicates that an entity employs or is based on a particular type or pattern of beat (rhythmic structure).
-
E.
usesBeatFrom
Indicates that one entity employs or incorporates the rhythmic pattern, instrumental backing, or beat originally created for or associated with another entity.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 1, 2026, 1:32 a.m.