Triple

T9986134
Position Surface form Disambiguated ID Type / Status
Subject Henry Seymour Conway E196571 entity
Predicate familyName P18 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: [Henry Seymour Conway, familyName, Conway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conway
Context triple: [Henry Seymour Conway, familyName, 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. Nowell
    Nowell is an alternative English spelling of the traditional Christmas carol title “The First Noël,” reflecting an older form of the word "Noel."
  • C. Loudon
    Loudon is the first name of Loudon Wainwright III, an American singer-songwriter and actor known for his witty, autobiographical folk songs.
  • D. Loudon
    Loudon is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • E. Hannan
    Hannan is a coastal city in southern Osaka Prefecture, Japan, known for its fishing industry and proximity to Osaka Bay.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79af13c81909349ae0b0d5da946 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281f6bd5081908c50cc22280ce6a0 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:49 p.m.