Triple

T9522258
Position Surface form Disambiguated ID Type / Status
Subject Parker Posey E229670 entity
Predicate notableWork P4 FINISHED
Object The House of Yes E582868 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: The House of Yes | Statement: [Parker Posey, notableWork, The House of Yes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The House of Yes
Context triple: [Parker Posey, notableWork, The House of Yes]
  • A. The House of Yes chosen
    The House of Yes is a 1997 dark comedy film, based on Wendy MacLeod’s play, about a mentally unstable young woman obsessed with Jacqueline Kennedy Onassis whose delusions unravel during a dysfunctional family Thanksgiving.
  • B. The Power of Yes
    The Power of Yes is a former marketing slogan used by Washington Mutual bank to promote its customer-friendly, can-do brand image.
  • C. The House of Youth
    The House of Youth is a silent-era film best known for featuring actress Jacqueline Logan in a prominent role.
  • D. Our House
    Our House is an American family drama television series from the 1980s starring Wilford Brimley as the gruff but caring patriarch of a multigenerational household.
  • E. Our House
    Our House is a satirical play by Theresa Rebeck that critiques the intersection of reality television, corporate media, and American culture.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd989788e4819086c235bf37a56b04 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a5cd2d881908b27649b396c50a1 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.