Triple

T18821445
Position Surface form Disambiguated ID Type / Status
Subject Beowulf (2007 film) E460272 entity
Predicate starring P1507 FINISHED
Object Crispin Glover 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: Crispin Glover | Statement: [Beowulf (2007 film), starring, Crispin Glover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crispin Glover
Context triple: [Beowulf (2007 film), starring, Crispin Glover]
  • A. Crispin Glover chosen
    Crispin Glover is an American actor, filmmaker, and author best known for his eccentric screen presence and memorable roles in films such as "Back to the Future" and "River's Edge."
  • B. Billy Hartnett
    Billy Hartnett is the commonly used name for William Hartnett, likely referring to him in informal or public contexts.
  • C. Chris Fehn
    Chris Fehn is an American percussionist and musician best known for his long tenure as a masked member of the heavy metal band Slipknot.
  • D. Glenn Gilger
    Glenn Gilger is an American child voice actor best known for providing the voice of one of the Peanuts characters in the animated film "A Boy Named Charlie Brown."
  • E. Michael Culver
    Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6ba90988190a93e1c2fa23b3d1d completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.