Triple

T21686825
Position Surface form Disambiguated ID Type / Status
Subject Faris E535250 entity
Predicate hasVariant P455 FINISHED
Object Farris 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: Farris | Statement: [Faris, hasVariant, Farris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farris
Context triple: [Faris, hasVariant, Farris]
  • A. Farris chosen
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • B. Farr
    Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
  • C. Fritchie
    Fritchie is the surname associated with Barbara Frietchie, the American Civil War heroine immortalized in John Greenleaf Whittier’s poem for defiantly flying the Union flag.
  • D. Fadden
    Fadden is a residential suburb in the Canberra region of the Australian Capital Territory.
  • E. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cc31b8819086ca980521f94501 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.