Triple

T19908986
Position Surface form Disambiguated ID Type / Status
Subject John Arbuthnot Fisher E478494 entity
Predicate familyName P18 FINISHED
Object Fisher 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: Fisher | Statement: [John Arbuthnot Fisher, familyName, Fisher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fisher
Context triple: [John Arbuthnot Fisher, familyName, Fisher]
  • A. Fisher chosen
    Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
  • B. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • C. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • D. Fischel
    Fischel is the birth name of Fred Lebow, the Romanian-American founder and long-time director of the New York City Marathon.
  • E. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6598e7d988190b8759100a147f2c1 completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.