Triple

T15972496
Position Surface form Disambiguated ID Type / Status
Subject Karina Smirnoff E387357 entity
Predicate dancePartner P34738 FINISHED
Object Corbin Bleu E681750 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: Corbin Bleu | Statement: [Karina Smirnoff, dancePartner, Corbin Bleu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corbin Bleu
Context triple: [Karina Smirnoff, dancePartner, Corbin Bleu]
  • A. Corbin Bleu chosen
    Corbin Bleu is an American actor, singer, and dancer best known for his breakout role in Disney Channel’s High School Musical franchise and subsequent work in film, television, and theater.
  • B. Tyler Dawson
    Tyler Dawson is a central character in the 1938 adventure film "Spawn of the North," set in the rugged Alaskan frontier.
  • C. Dylan Tichenor
    Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
  • D. Donavon Frankenreiter
    Donavon Frankenreiter is an American singer-songwriter and surfer known for his laid-back, folk-rock sound and close association with Jack Johnson and the surf music scene.
  • E. Cody Christian
    Cody Christian is an American actor best known for his roles on television series such as "All American," "Teen Wolf," and "Pretty Little Liars."
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572a8fd8819092ae1766324b1345 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3c76c988190a2f2bb4b6ac5ef25 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.