Triple

T17039673
Position Surface form Disambiguated ID Type / Status
Subject George Washington Crile E413411 entity
Predicate familyName P18 FINISHED
Object Crile E413411 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: Crile | Statement: [George Washington Crile, familyName, Crile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crile
Context triple: [George Washington Crile, familyName, Crile]
  • A. Crile chosen
    Crile is a surname most notably associated with American surgeon and medical innovator George W. Crile, a pioneer in surgical techniques and co-founder of the Cleveland Clinic.
  • B. Fogarty
    Fogarty is a surname of Irish origin borne by various notable individuals in politics, sports, and the arts.
  • C. Couper
    Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
  • D. Semon
    Semon is the surname of American silent film comedian, director, and producer Larry Semon.
  • E. Alexanderson
    Alexanderson is a Swedish-origin surname most notably associated with engineer Ernst Alexanderson, a pioneer in early radio and television technology.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f5844c819097eade4a2b42ab91 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b5ceb048190a7f6cf2361360f90 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.