Triple
T30055878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancing with the Stars (season 32) |
E763729
|
entity |
| Predicate | hasProfessionalDancer |
P79355
|
FINISHED |
| Object | Peta Murgatroyd |
—
|
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: Peta Murgatroyd | Statement: [Dancing with the Stars (season 32), hasProfessionalDancer, Peta Murgatroyd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalDancer Context triple: [Dancing with the Stars (season 32), hasProfessionalDancer, Peta Murgatroyd]
-
A.
featuresProfessionalDancer
chosen
Indicates that an entity includes or presents a professional dancer as part of its content, composition, or offering.
-
B.
taughtToDanceBy
Indicates that one entity learned to dance through instruction or guidance provided by another entity.
-
C.
hasDanceAssociation
Indicates that there is a relationship or affiliation between an entity and a dance-related organization, group, or activity.
-
D.
alsoDancedAs
Indicates that an entity performed under an additional dance name or identity besides their primary one.
-
E.
hasDancePerformancesBy
Indicates that one entity features or includes dance performances carried out by 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ffb97b8ff8819088b105d99a0820c9 |
completed | May 9, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69ffb88ef7388190a710120ed76edc0e |
completed | May 9, 2026, 10:43 p.m. |
Created at: April 29, 2026, 6:56 p.m.