Triple

T2479776
Position Surface form Disambiguated ID Type / Status
Subject Ado Annie Carnes E55185 entity
Predicate givenName P17 FINISHED
Object Ado Annie E10098 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: Ado Annie | Statement: [Ado Annie Carnes, givenName, Ado Annie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ado Annie
Context triple: [Ado Annie Carnes, givenName, Ado Annie]
  • A. Ado Annie Carnes chosen
    Ado Annie Carnes is a flirtatious, comedic supporting character in the musical "Oklahoma!" known for her indecisiveness about love and her signature song "I Cain't Say No."
  • B. Mary Jane Gumm
    Mary Jane Gumm was an American vaudeville and film performer, best known as one of Judy Garland’s older sisters and early singing partners in the Gumm Sisters act.
  • C. Dolly Talbo
    Dolly Talbo is a gentle, eccentric older woman in Truman Capote’s novella "The Grass Harp," known for her independent spirit and close bond with the young narrator.
  • D. Laurey Williams
    Laurey Williams is the spirited young farm girl who serves as the romantic heroine in the classic Rodgers and Hammerstein musical "Oklahoma!".
  • E. Nanette Fabray
    Nanette Fabray was an American actress, singer, and dancer known for her work in musical theatre, film, and television, particularly in mid-20th-century Hollywood and Broadway productions.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd160a9708190b28d2f5538ea129a completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f8c02188190a7cf3e0531a66683 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.