Triple

T19365439
Position Surface form Disambiguated ID Type / Status
Subject Talk a Good Game E484387 entity
Predicate notableSingle P3283 FINISHED
Object Dirty Laundry 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: Dirty Laundry | Statement: [Talk a Good Game, notableSingle, Dirty Laundry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirty Laundry
Context triple: [Talk a Good Game, notableSingle, Dirty Laundry]
  • A. Dirty Laundry
    Dirty Laundry is a film directed by American filmmaker Phil Joanou.
  • B. Dirty Laundry chosen
    "Dirty Laundry" is a 1982 satirical rock song by Don Henley that criticizes sensationalist and unethical practices in television news media.
  • C. Dirty Pants
    "Dirty Pants" is a song featured on the album "Rain on Lens" by the indie rock band Smog (Bill Callahan).
  • D. Launder
    Launder is an English surname most notably associated with Frank Launder, a prominent British film director, producer, and screenwriter.
  • E. Dirty Hands
    Dirty Hands is a politically charged existentialist play by Jean-Paul Sartre that explores moral ambiguity, revolutionary ethics, and the conflict between ideology and personal responsibility.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619aa9ff48190b1ede47fb88a682e completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.