Triple
T34125400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pin Up Girl |
E875260
|
entity |
| Predicate | featuresMusicalNumbers |
—
|
GENERATED |
| Object | yes |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMusicalNumbers Context triple: [Pin Up Girl, featuresMusicalNumbers, yes]
-
A.
hasMusicalNumberIn
Indicates that a musical number (song or performance) appears within or is featured in a specific work, scene, or production.
-
B.
hasMusicalNumberOrder
Indicates the sequential position of a musical number within a larger performance or work.
-
C.
featuresDanceNumber
Indicates that the subject includes or presents a dance performance or choreographed dance sequence.
-
D.
featuredInDanceNumbersWith
Indicates that two entities are prominently included together in one or more dance numbers within a performance or production.
-
E.
broadwayMusicalNumber
Indicates that one entity is a specific musical number (song or performance piece) that appears within a Broadway musical production represented by the other entity.
- F. None of above. chosen
Provenance (1 batch)
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_69f349aa33848190a2e6c5e4533c8444 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:53 a.m.