Triple

T16687411
Position Surface form Disambiguated ID Type / Status
Subject Amy Wright E405499 entity
Predicate name P16 FINISHED
Object Amy Wright 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: Amy Wright | Statement: [Amy Wright, name, Amy Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Wright
Context triple: [Amy Wright, name, Amy Wright]
  • A. Amy Wright chosen
    Amy Wright is an American actress known for her character roles in films such as "Breaking Away" and "The Accidental Tourist."
  • B. Rachel Wright
    Rachel Wright is an individual known primarily as the sibling of Julia Wright.
  • C. Laura Wright
    Laura Wright is an American soap opera actress best known for her long-running role as Carly Corinthos on "General Hospital," for which she has earned critical acclaim and major industry awards.
  • D. Susan Wright
    Susan Wright is a British actress best known for her long-running television roles in series such as Brookside, The Royle Family, and Waking the Dead, under her professional name Sue Johnston.
  • E. Susan Wright
    Susan Wright is a theatre professional best known for founding the Persephone Theatre, a prominent regional theatre company.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea75df481909a7ebb9b2a9d0afd completed April 18, 2026, 12:52 p.m.
Created at: April 10, 2026, 5:19 a.m.