Triple

T10449142
Position Surface form Disambiguated ID Type / Status
Subject Gale Gordon E246368 entity
Predicate stageName P7872 FINISHED
Object Gale Gordon E246368 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: Gale Gordon | Statement: [Gale Gordon, stageName, Gale Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gale Gordon
Context triple: [Gale Gordon, stageName, Gale Gordon]
  • A. Gale Gordon chosen
    Gale Gordon was an American character actor best known for his authoritative comedic roles in classic radio and television sitcoms, particularly in collaborations with Lucille Ball.
  • B. William Link
    William Link was an American television writer and producer best known for co-creating the iconic detective series Columbo.
  • C. Dale Wasserman
    Dale Wasserman was an American playwright best known for writing the book for the musical "Man of La Mancha" and the stage adaptation of "One Flew Over the Cuckoo's Nest."
  • D. Clarence Wilson
    Clarence Wilson was an American character actor of the early 20th century, known for his frequent portrayals of stern or officious authority figures in numerous Hollywood films.
  • E. Ernest Lehman
    Ernest Lehman was an American screenwriter renowned for adapting major stage works and novels into classic Hollywood films, including North by Northwest, West Side Story, and The Sound of Music.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe083cd881909d2d8ad75d1d94cb completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc43e53081909e14cfe295d17cb2 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:16 p.m.