Triple

T9161105
Position Surface form Disambiguated ID Type / Status
Subject Murray Bartlett E219823 entity
Predicate givenName P17 FINISHED
Object Murray E33747 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: Murray | Statement: [Murray Bartlett, givenName, Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray
Context triple: [Murray Bartlett, givenName, Murray]
  • A. Murray
    Murray is a suburban city in the Salt Lake Valley of Utah, known for its central location in the metropolitan area and its mix of residential, commercial, and medical facilities.
  • B. Murray chosen
    Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
  • C. Murray
    Murray is an electoral district in the New South Wales Legislative Assembly, covering a large rural region in the state's southwest.
  • D. Murray
    Murray is a common Scottish-origin surname borne by numerous notable figures in politics, sports, and the arts.
  • E. Murray Louis
    Murray Louis was an influential American modern dancer and choreographer, best known for his work with the Alwin Nikolais Dance Company and for his innovative, theatrical approach to movement.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ac0508190b2f5c801c2c26d66 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547073cc8190999fe640c7ccd373 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:21 p.m.