Triple

T12602707
Position Surface form Disambiguated ID Type / Status
Subject So You Think You Can Dance E300897 entity
Predicate notableJudge P28256 FINISHED
Object Mia Michaels E598354 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: Mia Michaels | Statement: [So You Think You Can Dance, notableJudge, Mia Michaels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mia Michaels
Context triple: [So You Think You Can Dance, notableJudge, Mia Michaels]
  • A. Mia Michaels chosen
    Mia Michaels is an Emmy-winning American choreographer renowned for her emotionally powerful contemporary dance works on stage, television, and film.
  • B. Mia Morgan
    Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
  • C. Mia Tyler
    Mia Tyler is an American plus-size model, actress, and television personality, and the daughter of Aerosmith frontman Steven Tyler.
  • D. Mia Frampton
    Mia Frampton is an American actress, best known for her roles in film and television and as the daughter of rock musician Peter Frampton.
  • E. Mia Dolan
    Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66869c0b08190b13bcebbe354cd98 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:10 p.m.