Triple

T6593669
Position Surface form Disambiguated ID Type / Status
Subject Henry Crown E148422 entity
Predicate child P120 FINISHED
Object Lester Crown E151764 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: Lester Crown | Statement: [Henry Crown, child, Lester Crown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lester Crown
Context triple: [Henry Crown, child, Lester Crown]
  • A. Lester Crown chosen
    Lester Crown is an American industrialist, investor, and philanthropist, best known as a leading member of Chicago’s influential Crown family and a longtime figure in the aerospace and defense industry.
  • B. Lester
    Lester is a small town located in Raleigh County in the southern part of West Virginia, United States.
  • C. Lester
    Lester is the central character in the 2016 puzzle-platform video game "Mekazoo" (also known as "Makers" in some regions), around whom the game's story and gameplay revolve.
  • D. Lester
    Lester is the given name of Lester B. Pearson, the Canadian diplomat, Nobel Peace Prize laureate, and 14th prime minister of Canada.
  • E. Lester
    Lester is a surname of Irish origin borne by various notable individuals, including the diplomat Seán Lester.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aecf50ac81909cb9960c8265a7ea completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42d6ba08190beccfad588594780 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:55 p.m.