Triple

T18533259
Position Surface form Disambiguated ID Type / Status
Subject Choose Me E452891 entity
Predicate protagonist P268 FINISHED
Object Taryn Moore 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: Taryn Moore | Statement: [Choose Me, protagonist, Taryn Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taryn Moore
Context triple: [Choose Me, protagonist, Taryn Moore]
  • A. Taryn Moore chosen
    Taryn Moore is the troubled, enigmatic protagonist of the psychological thriller "Choose Me," whose complex relationships and hidden motives drive the novel’s central mystery.
  • B. Taryn Van Dyke
    Taryn Van Dyke is a member of the Van Dyke family, known for its multi-generational involvement in American film and television.
  • C. Analeigh Tipton
    Analeigh Tipton is an American actress and former figure skater and model known for her roles in films such as "Crazy, Stupid, Love" and "Warm Bodies."
  • D. Hollie Baylor
    Hollie Baylor is a character from the film "Elizabethtown," known for her role in the story's exploration of family, grief, and personal redemption.
  • E. Leah Pruett
    Leah Pruett is an American professional drag racer best known for competing in the NHRA Top Fuel category.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533ffc38881909f8ee132314f58a3 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.