Triple

T22171474
Position Surface form Disambiguated ID Type / Status
Subject The Mouthpiece E547928 entity
Predicate screenwriter P2831 FINISHED
Object Wilson Mizner 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: Wilson Mizner | Statement: [The Mouthpiece, screenwriter, Wilson Mizner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilson Mizner
Context triple: [The Mouthpiece, screenwriter, Wilson Mizner]
  • A. Wilson Mizner chosen
    Wilson Mizner was an American playwright, raconteur, and notorious bon vivant known for his sharp wit, colorful scams, and involvement in early 20th-century show business and gambling.
  • B. George Minafer
    George Minafer is the spoiled, arrogant heir of a wealthy Midwestern family whose downfall and gradual self-awareness drive the plot of Booth Tarkington’s novel *The Magnificent Ambersons*.
  • C. Michael Baker
    Michael Baker was a 19th-century American sea captain and explorer after whom the remote Pacific atoll Baker Island is named.
  • D. Michael Willett
    Michael Willett is an American actor and singer best known for his roles in the TV series "United States of Tara" and MTV's "Faking It."
  • E. Tom Doak
    Tom Doak is a renowned American golf course architect celebrated for his minimalist, strategically nuanced designs that emphasize natural landforms and classic design principles.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a68c26c8190b1258595bd96cb63 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.