Triple

T9104055
Position Surface form Disambiguated ID Type / Status
Subject Gray E218431 entity
Predicate hasNotableBearer P458 FINISHED
Object Harry Gray E238370 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: Harry Gray | Statement: [Gray, hasNotableBearer, Harry Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Gray
Context triple: [Gray, hasNotableBearer, Harry Gray]
  • A. Harry Gray chosen
    Harry Gray is an American inorganic chemist renowned for his pioneering work in bioinorganic chemistry and electron transfer in proteins.
  • B. Milton Van Dyke
    Milton Van Dyke was an influential American fluid dynamicist and author known for his classic works on aerodynamics and fluid mechanics, including the widely used reference "An Album of Fluid Motion."
  • C. Howard Vollum
    Howard Vollum was an American engineer and entrepreneur best known as the co-founder of Tektronix, a pioneering company in oscilloscopes and electronic test equipment.
  • D. Hugh Baird
    Hugh Baird was a Scottish civil engineer best known for his major role in early 19th-century canal design and construction.
  • E. Howard Sprague
    Howard Sprague is a mild-mannered, bookish county clerk and later bureaucrat character from the classic American television series "The Andy Griffith Show" and its spin-offs, set in the fictional town of Mayberry.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca56f1f10819091abadf7cd06c3a6 completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0479a58c48190acd4a4af21aa01c3 completed April 3, 2026, 11:04 p.m.
Created at: March 30, 2026, 7:15 p.m.