Triple

T21453077
Position Surface form Disambiguated ID Type / Status
Subject Howard W. Koch E529266 entity
Predicate directed P7373 FINISHED
Object Big House, U.S.A. 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: Big House, U.S.A. | Statement: [Howard W. Koch, directed, Big House, U.S.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big House, U.S.A.
Context triple: [Howard W. Koch, directed, Big House, U.S.A.]
  • A. Großes Haus
    Großes Haus is the main large auditorium of the Haus der Berliner Festspiele, used for major theater, music, and cultural performances in Berlin.
  • B. Großes Haus
    Großes Haus is the principal large theater building of the Staatstheater Braunschweig, hosting its major opera, drama, and concert productions.
  • C. Big House
    Big House is the nickname of Clarence Gaines, a legendary American college basketball coach best known for his long and successful tenure at Winston-Salem State University.
  • D. 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.
  • E. The Big House
    The Big House is a notable building recognized as a key work in the architectural portfolio of Bernard L. Green.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d50b88819081a771596d0a2b2b completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:07 p.m.