Triple

T1035636
Position Surface form Disambiguated ID Type / Status
Subject Conway Berners-Lee E22355 entity
Predicate givenName P17 FINISHED
Object Conway E38473 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: Conway | Statement: [Conway Berners-Lee, givenName, Conway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conway
Context triple: [Conway Berners-Lee, givenName, Conway]
  • A. Conway chosen
    Conway is a surname most notably associated with the influential British mathematician John H. Conway, known for his work in group theory, number theory, and cellular automata such as the Game of Life.
  • B. Loudon
    Loudon is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • C. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • D. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • E. Douglas
    Douglas is the capital and largest town of the Isle of Man, serving as its main commercial center and principal ferry port.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b816272c8190a12e470c4d4ebcf9 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ea00134819093161cb9a38ee2b9 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:41 p.m.