Triple

T6683313
Position Surface form Disambiguated ID Type / Status
Subject Motoo Kimura E152038 entity
Predicate doctoralAdvisor P167 FINISHED
Object James F. Crow E346115 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: James F. Crow | Statement: [Motoo Kimura, doctoralAdvisor, James F. Crow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James F. Crow
Context triple: [Motoo Kimura, doctoralAdvisor, James F. Crow]
  • A. James F. Crow chosen
    James F. Crow was a prominent American population geneticist known for his foundational contributions to theoretical genetics and the study of genetic variation and evolution.
  • B. George N. Clements
    George N. Clements was an influential linguist and phonologist known for his work on feature geometry and the theory of syllable structure.
  • C. Robert N. Fitch
    Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
  • D. Robert E. Griffith
    Robert E. Griffith was an American theatrical producer best known for his work on landmark Broadway musicals in the mid-20th century.
  • E. Allen M. Davey
    Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b122df14819082068af37611b691 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86822add88190909a82b9c263bb6f completed March 28, 2026, 11:45 p.m.
Created at: March 27, 2026, 2:04 p.m.