Triple

T10954128
Position Surface form Disambiguated ID Type / Status
Subject It's Always Fair Weather E258797 entity
Predicate starring P1507 FINISHED
Object Dan Dailey E188127 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: Dan Dailey | Statement: [It's Always Fair Weather, starring, Dan Dailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Dailey
Context triple: [It's Always Fair Weather, starring, Dan Dailey]
  • A. Dan Dailey chosen
    Dan Dailey was an American actor and dancer best known for his roles in Hollywood musicals of the 1940s and 1950s.
  • B. Bud Day
    Bud Day was a highly decorated United States Air Force colonel, Medal of Honor recipient, and Vietnam War fighter pilot who became one of America’s most renowned prisoners of war.
  • C. Steve Donahue
    Steve Donahue is an American college basketball coach best known for leading Cornell University to multiple NCAA Tournament appearances, including a historic Sweet Sixteen run in 2010.
  • D. David Sills
    David Sills was an American jurist and former mayor of Irvine, California, who later served as the presiding justice of the California Court of Appeal.
  • E. Donald Blye
    Donald Blye is a character in the television series "NCIS: Los Angeles," known primarily as the father of Special Agent Kensi Blye and a former Marine whose mysterious past plays a key role in her backstory.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c64089c8190a9c0aa63d7e7dc64 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.