Triple

T22237075
Position Surface form Disambiguated ID Type / Status
Subject Meek E549618 entity
Predicate hasNotableBearer P458 FINISHED
Object Donald Meek E129457 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: Donald Meek | Statement: [Meek, hasNotableBearer, Donald Meek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Meek
Context triple: [Meek, hasNotableBearer, Donald Meek]
  • A. Donald Meek chosen
    Donald Meek was a Scottish-born American character actor known for his distinctive, mild-mannered roles in numerous Hollywood films of the 1930s and 1940s.
  • B. Charles Kilgour
    Charles Kilgour was a 19th-century American businessman best known as a founder of the telecommunications company Cincinnati Bell.
  • C. Fred Kilgour
    Fred Kilgour was an American librarian and information scientist best known for pioneering online library cataloging and founding the OCLC cooperative.
  • D. Lin McAdam
    Lin McAdam is the determined and skilled gunslinger protagonist of the classic 1950 Western film "Winchester '73," portrayed by James Stewart.
  • E. Peter Galbraith
    Peter Galbraith is an American diplomat, author, and former U.S. ambassador to Croatia known for his work on international negotiations and post-conflict governance.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f13210eb9c8190bc40d06c393e0d9a completed April 28, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae7d32608190bb3d07e7bacc46ac completed May 18, 2026, 6:15 a.m.
Created at: April 16, 2026, 8:38 p.m.