Triple

T6355242
Position Surface form Disambiguated ID Type / Status
Subject Arthur Fiedler E142973 entity
Predicate familyName P18 FINISHED
Object Fiedler E359171 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: Fiedler | Statement: [Arthur Fiedler, familyName, Fiedler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiedler
Context triple: [Arthur Fiedler, familyName, Fiedler]
  • A. Fiedler chosen
    Fiedler is a sharp, idealistic East German intelligence officer in John le Carré’s Cold War spy novel "The Spy Who Came in from the Cold."
  • B. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • C. Fischer
    Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
  • D. 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.
  • E. Flecher
    Flecher is a variant spelling of the surname Fletcher, which traditionally refers to a maker or seller of arrows.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067e22c00819089bc68efb85bc2c8 completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6045e03e88190a8607e5d73c812bc completed March 27, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:31 p.m.