Triple

T21320820
Position Surface form Disambiguated ID Type / Status
Subject Caitlin Carver E525607 entity
Predicate participatedIn P149 FINISHED
Object I, Tonya 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: I, Tonya | Statement: [Caitlin Carver, participatedIn, I, Tonya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I, Tonya
Context triple: [Caitlin Carver, participatedIn, I, Tonya]
  • A. I, Tonya chosen
    I, Tonya is a 2017 biographical dark comedy-drama film about figure skater Tonya Harding and the scandal surrounding the attack on Nancy Kerrigan.
  • B. Tonya
    Tonya is a central female character in August Wilson’s play "King Hedley II," known for her poignant struggle over motherhood, survival, and hope in 1980s Pittsburgh.
  • C. Tonya
    Tonya is the mischievous and often troublemaking younger sister of Chris in the sitcom "Everybody Hates Chris."
  • D. Tonya
    Tonya is a feminine given name most famously associated with former American figure skater Tonya Harding.
  • E. Three Billboards Outside Ebbing, Missouri
    Three Billboards Outside Ebbing, Missouri is a 2017 darkly comic drama film about a grieving mother confronting local authorities over her daughter's unsolved murder.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed0a2788190b6a71c8c720173dc completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.