Triple

T3630406
Position Surface form Disambiguated ID Type / Status
Subject Burnett E76940 entity
Predicate hasVariant P455 FINISHED
Object Burnet E223865 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: Burnet | Statement: [Burnett, hasVariant, Burnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burnet
Context triple: [Burnett, hasVariant, Burnet]
  • A. Burnet chosen
    Burnet is the middle name of William Burnet Tuthill, the American architect best known for designing New York’s Carnegie Hall.
  • B. Burnett
    Burnett is a surname most famously associated with American comedian and actress Carol Burnett, a pioneering figure in television sketch comedy.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • E. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc300223881909019982ebf194f78 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f12c2608190bd0eb25c9df97ec6 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.