Triple

T13468536
Position Surface form Disambiguated ID Type / Status
Subject John W. Thompson E311568 entity
Predicate name P16 FINISHED
Object John W. Thompson E311568 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: John W. Thompson | Statement: [John W. Thompson, name, John W. Thompson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John W. Thompson
Context triple: [John W. Thompson, name, John W. Thompson]
  • A. John W. Thompson chosen
    John W. Thompson is an American technology executive best known for serving as chairman of Microsoft and former CEO of Symantec.
  • B. John W. Thompson
    John W. Thompson was a notable individual interred at Glenwood Cemetery in Washington, D.C., recognized for his historical significance.
  • C. John S. Thompson
    John S. Thompson was a Dutch engineer and resistance member during World War II, honored for his role in the liberation of the Netherlands.
  • D. John G. Thompson
    John G. Thompson is an American mathematician renowned for his groundbreaking work in group theory, including contributions to the classification of finite simple groups.
  • E. Thomas G. Thompson
    Thomas G. Thompson was an American oceanographer and marine chemist known for pioneering research in chemical oceanography and leadership in marine science.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf21e46081908a00c9acf54f270f completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249c57bc819089baed544fb8fead completed May 8, 2026, 5:59 p.m.
Created at: April 9, 2026, 9:42 p.m.