Triple

T27900077
Position Surface form Disambiguated ID Type / Status
Subject Dancing with the Stars (season 23) E705605 entity
Predicate featuresProfessionalDancer P79355 FINISHED
Object Allison Holker
Allison Holker is an American professional dancer and choreographer known for her work on television dance competitions such as So You Think You Can Dance and Dancing with the Stars.
E1901916 NE 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: Allison Holker | Statement: [Dancing with the Stars (season 23), featuresProfessionalDancer, Allison Holker]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Allison Holker
Triple: [Dancing with the Stars (season 23), featuresProfessionalDancer, Allison Holker]
Generated description
Allison Holker is an American professional dancer and choreographer known for her work on television dance competitions such as So You Think You Can Dance and Dancing with the Stars.

Provenance (5 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_69ef96b490ac8190a412d04c5d009f3e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f639f833b08190b4e0d96ae28f79f6 completed May 2, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274c83027c819094701c4648b45394 completed June 8, 2026, 11:13 p.m.
NEDg Description generation batch_6a274ddf8d688190b480d115456651c3 completed June 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a274eb19fd48190a2d38ace0cc22b77 completed June 8, 2026, 11:22 p.m.
Created at: April 27, 2026, 6:41 p.m.