Triple

T22273069
Position Surface form Disambiguated ID Type / Status
Subject Faizon Love E550526 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: [Faizon Love, appearedIn, The Big House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big House
Context triple: [Faizon Love, appearedIn, The Big House]
  • A. 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.
  • B. 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.
  • C. The Big House
    The Big House is a notable building recognized as a key work in the architectural portfolio of Bernard L. Green.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.