Triple
T31299594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex Shooter |
E798176
|
entity |
| Predicate | hasChoreographedPerformanceIn |
P112078
|
FINISHED |
| Object | Purple Rain (film) |
—
|
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: Purple Rain (film) | Statement: [Sex Shooter, hasChoreographedPerformanceIn, Purple Rain (film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChoreographedPerformanceIn Context triple: [Sex Shooter, hasChoreographedPerformanceIn, Purple Rain (film)]
-
A.
choreographedIn
Indicates that an entity (typically a choreographer or group) created or arranged the choreography for a performance, work, or event in a specified context or production.
-
B.
hasDancePerformancesBy
Indicates that one entity features or includes dance performances carried out by another entity.
-
C.
choreographedTo
Indicates that one action, movement, or sequence has been deliberately designed or arranged to align in timing, pattern, or structure with another.
-
D.
hasDanceChoreography
Indicates that an entity is associated with or characterized by a specific dance choreography.
-
E.
hasChoreographedDanceInVideo
chosen
Indicates that an entity has created or arranged the choreography for a dance that appears in a particular video.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 29, 2026, 9:14 p.m.