Triple
T8118682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey's Mix Magic |
E189543
|
entity |
| Predicate | audienceParticipationStyle |
P45833
|
FINISHED |
| Object | dance party atmosphere |
—
|
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: dance party atmosphere | Statement: [Mickey's Mix Magic, audienceParticipationStyle, dance party atmosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceParticipationStyle Context triple: [Mickey's Mix Magic, audienceParticipationStyle, dance party atmosphere]
-
A.
hasAudienceParticipation
chosen
Indicates that an event, performance, or activity involves direct participation or interaction from the audience.
-
B.
audienceSetting
Indicates the context or environment in which an audience is situated or addressed.
-
C.
audienceRole
Indicates the role or function an entity has as part of an audience in relation to another entity or event.
-
D.
audienceMember
Indicates that one entity is an audience member who is attending, observing, or listening to a performance, event, or presentation involving the other entity.
-
E.
attractsAudience
Indicates that an entity draws the interest or attention of people who choose to watch, listen to, or engage with it.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:33 p.m.