Triple

T22108430
Position Surface form Disambiguated ID Type / Status
Subject Morgan Conway E546351 entity
Predicate familyName P18 FINISHED
Object Conway NE NERFINISHED

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: [Morgan Conway, familyName, Conway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conway
Context triple: [Morgan 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. Conway
    Conway is a small unincorporated community and census-designated place in northern Michigan, known for its location near Crooked Lake and proximity to Petoskey.
  • C. Conway
    Conway is a city in central Arkansas known for its educational institutions and role as a key community within the Little Rock metropolitan region.
  • D. Conway
    Conway is the weary, debt-laden delivery driver who serves as the central protagonist in the surreal, magical-realist adventure game Kentucky Route Zero.
  • E. Conley
    Conley is a surname most prominently associated with NBA point guard Mike Conley Jr.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291adc74819092c7753bb6f3768d completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.