Triple

T23494239
Position Surface form Disambiguated ID Type / Status
Subject Henry Armetta E571657 entity
Predicate appearedIn P795 FINISHED
Object The Big House 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: The Big House | Statement: [Henry Armetta, appearedIn, The Big House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big House
Context triple: [Henry Armetta, appearedIn, The Big House]
  • A. The Big House
    The Big House is the massive on-campus football stadium at the University of Michigan in Ann Arbor, renowned as one of the largest stadiums in the world.
  • B. The Big House
    The Big House is a notable building recognized as a key work in the architectural portfolio of Bernard L. Green.
  • C. The Big House chosen
    The Big House is a landmark 1930 American prison drama film noted for its early, gritty depiction of life behind bars and its influential role in shaping the prison film genre.
  • D. The Prison
    The Prison is a distinctive rock formation within the Quiraing landslip on the Isle of Skye in Scotland, known for its dramatic, fortress-like appearance.
  • E. The Second Prison
    The Second Prison is a novel by Irish writer Ronan Bennett that explores themes of crime, guilt, and moral ambiguity within contemporary society.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7de1ab88190b6c2441c63a99713 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.