Triple

T18364559
Position Surface form Disambiguated ID Type / Status
Subject Greg Hicks E440005 entity
Predicate name P16 FINISHED
Object Greg Hicks 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: Greg Hicks | Statement: [Greg Hicks, name, Greg Hicks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Hicks
Context triple: [Greg Hicks, name, Greg Hicks]
  • A. Greg Hicks chosen
    Greg Hicks is a British actor known for his extensive stage work with the Royal Shakespeare Company and for his role in the 2013 television miniseries "The Bible."
  • B. Patty Brooks
    Patty Brooks is a character in the 2004 sports drama film "Miracle," which depicts the true story of the underdog U.S. men's hockey team at the 1980 Winter Olympics.
  • C. Leslie Holleran
    Leslie Holleran is a film producer best known for her work on acclaimed features such as the romantic drama "Chocolat."
  • D. Janice Guthrie
    Janice Guthrie is a notable individual associated with the surname Guthrie, recognized as one of its distinguished bearers.
  • E. Tricia O'Kelley
    Tricia O'Kelley is an American actress best known for her comedic television roles, particularly in popular sitcoms.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516de778c8190a75335ced4e1f834 completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:38 a.m.