Triple

T1197639
Position Surface form Disambiguated ID Type / Status
Subject 84th Academy Awards E25704 entity
Predicate director P255 FINISHED
Object Don Mischer E27235 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: Don Mischer | Statement: [84th Academy Awards, director, Don Mischer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Mischer
Context triple: [84th Academy Awards, director, Don Mischer]
  • A. Don Mischer chosen
    Don Mischer is an American television producer and director renowned for staging major live events and award shows, including multiple Academy Awards broadcasts.
  • B. Nellee Hooper
    Nellee Hooper is a British record producer and remixer known for his influential work with artists such as U2, Björk, Massive Attack, and Madonna.
  • C. Bill West
    Bill West was the husband of American country music singer Dottie West and was associated with her early career and personal life.
  • D. Robert Grubb
    Robert Grubb is an Australian actor known for his work in film, television, and theatre, including notable roles in period dramas and popular Australian series.
  • E. Don Maynard
    Don Maynard was a Hall of Fame American football wide receiver best known as Joe Namath’s primary deep threat and a key offensive star for the New York Jets during the 1960s.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9a305c819091513394f1b67784 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2e7d28c8190acf5ae2237e6d4e0 completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:46 p.m.