Triple

T20585799
Position Surface form Disambiguated ID Type / Status
Subject Panama Hattie E505782 entity
Predicate starring P1507 FINISHED
Object Dan Dailey 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: Dan Dailey | Statement: [Panama Hattie, starring, Dan Dailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Dailey
Context triple: [Panama Hattie, 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. Paul Bolen
    Paul Bolen is a musician known for being a member of the Celtic rock band O'Malley's March.
  • D. 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.
  • E. Jim Willard
    Jim Willard is the young, athletic protagonist of Gore Vidal’s novel "The City and the Pillar," whose coming-of-age story explores themes of homosexuality, identity, and societal repression in mid-20th-century America.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a976bca4819086a4949e299159b5 completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.