Triple

T2479773
Position Surface form Disambiguated ID Type / Status
Subject Carnes E55185 entity
Predicate usedBy P260 FINISHED
Object Ado Annie Carnes 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 Carnes | Statement: [Carnes, usedBy, Ado Annie Carnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ado Annie Carnes
Context triple: [Carnes, usedBy, Ado Annie Carnes]
  • 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. Charley Dietz
    Charley Dietz is a quirky, womanizing neighbor and close friend of the main family on the sitcom "Empty Nest," known for his comedic antics and laid-back charm.
  • D. 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.
  • E. Woodie Flowers
    Woodie Flowers was an American mechanical engineering professor and influential robotics education advocate best known for co-founding and shaping the culture of the FIRST Robotics Competition.
  • 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_69af17b146d881909672e9cd4a501a11 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.