Triple

T9367314
Position Surface form Disambiguated ID Type / Status
Subject MGM Freed Unit E225434 entity
Predicate employed P7 FINISHED
Object Roger Edens E174656 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: Roger Edens | Statement: [MGM Freed Unit, employed, Roger Edens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roger Edens
Context triple: [MGM Freed Unit, employed, Roger Edens]
  • A. Roger Edens chosen
    Roger Edens was an American composer, arranger, and producer best known for his influential work on classic MGM musicals in Hollywood’s Golden Age.
  • B. Frank Nighbor
    Frank Nighbor was a pioneering early 20th-century Canadian ice hockey star renowned for his exceptional two-way play and sportsmanship in the National Hockey League.
  • C. Ed Eagan
    Ed Eagan is an American media executive best known for co-founding the sports television network ESPN.
  • D. Gordon Thiessen
    Gordon Thiessen is a Canadian economist who served as Governor of the Bank of Canada in the 1990s and early 2000s.
  • E. Jerry Sohl
    Jerry Sohl was an American science fiction author and screenwriter known for his work on television series such as Star Trek, The Twilight Zone, and The Outer Limits.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5042c89c8190994b12cf7600c366 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3fbe7d481909712531d907b77d8 completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:43 p.m.