Triple

T17490055
Position Surface form Disambiguated ID Type / Status
Subject Brady Hawkes E425880 entity
Predicate familyName P18 FINISHED
Object Hawkes 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: Hawkes | Statement: [Brady Hawkes, familyName, Hawkes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawkes
Context triple: [Brady Hawkes, familyName, Hawkes]
  • A. Hawkes
    Hawkes is the surname of Sylvia Ashley, a British model, actress, and socialite known for her high-profile marriages in the early 20th century.
  • B. Hawkes chosen
    Hawkes was a historic British tailoring firm that later became part of the renowned Savile Row brand Gieves & Hawkes.
  • C. The Hawk
    The Hawk was the nickname of Connie Hawkins, a Hall of Fame American basketball player renowned for his spectacular leaping ability and creative, acrobatic play.
  • D. Nighthawk
    Nighthawk is a flying steel roller coaster at the Carowinds amusement park known for its face-down riding position and multiple inversions.
  • E. Nighthawk
    Nighthawk is the radio callsign used by Marine Helicopter Squadron One (HMX-1), the U.S. Marine Corps unit responsible for transporting the President of the United States.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d519488190a08da1b529c08445 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.