Triple

T12698832
Position Surface form Disambiguated ID Type / Status
Subject The Right Stuff E303403 entity
Predicate editingBy P1954 FINISHED
Object Glenn Farr E524971 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: Glenn Farr | Statement: [The Right Stuff, editingBy, Glenn Farr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenn Farr
Context triple: [The Right Stuff, editingBy, Glenn Farr]
  • A. Glenn Farr chosen
    Glenn Farr was an American film editor best known for his Academy Award–winning work on the 1983 film "Terms of Endearment."
  • B. Glenn Dennis
    Glenn Dennis was a New Mexico mortician and key Roswell incident witness who co-founded the International UFO Museum and Research Center in Roswell.
  • C. Glenn Leonard
    Glenn Leonard is an American R&B and soul singer best known as a former lead tenor of the legendary Motown group The Temptations during the 1970s and early 1980s.
  • D. Glenn Roberts
    Glenn Roberts is an American grain expert and founder of Anson Mills, renowned for reviving heirloom Southern grains and rice varieties, including Carolina Gold rice.
  • E. Glenn Williamson
    Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e25d24e481908253e1af630835f1 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:22 p.m.