Triple

T7620045
Position Surface form Disambiguated ID Type / Status
Subject George W. Norris E172464 entity
Predicate hasFamilyName P18 FINISHED
Object Norris E172464 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: Norris | Statement: [George W. Norris, hasFamilyName, Norris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norris
Context triple: [George W. Norris, hasFamilyName, Norris]
  • A. Norris chosen
    Norris is a surname most notably associated with influential American politician George W. Norris, a progressive-era U.S. senator from Nebraska.
  • B. Norriss
    Norriss is a variant spelling of the surname Norris, which is of English origin and historically associated with the meaning "northerner" or "from the north."
  • C. Norval
    Norval is a small historic village in Ontario, Canada, known for its scenic Credit River setting and association with author Lucy Maud Montgomery.
  • D. Morrisen
    Morrisen is an alternative spelling or variant form of the surname Morrison.
  • E. Snodgrass
    Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa6148a88190be5150313fe23e7b completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8709b93c881909dd4c8a7669279db completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:55 p.m.