Triple

T1973615
Position Surface form Disambiguated ID Type / Status
Subject Paige Howard E42855 entity
Predicate name P16 FINISHED
Object Paige Howard E42855 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: Paige Howard | Statement: [Paige Howard, name, Paige Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paige Howard
Context triple: [Paige Howard, name, Paige Howard]
  • A. Paige Howard chosen
    Paige Howard is an American actress known for her work in film, television, and theater, and as a member of the Howard entertainment family.
  • B. Paige Alexander
    Paige Alexander is an American nonprofit leader and former U.S. government official who serves as the chief executive officer of The Carter Center.
  • C. Paige Butcher
    Paige Butcher is an Australian model and actress known for her work in film and fashion, as well as her long-term relationship with comedian and actor Eddie Murphy.
  • D. Jocelyn Howard
    Jocelyn Howard is an American television and film actress best known as the daughter of filmmaker and former child star Ron Howard.
  • E. Cassidy Gifford
    Cassidy Gifford is an American actress and model known for her roles in film and television and as the daughter of TV personalities Frank and Kathie Lee Gifford.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f477988190b0165fc46b1cccfd completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae03256a6c81909885fc3618c9c009 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:36 p.m.