Triple

T13232532
Position Surface form Disambiguated ID Type / Status
Subject William Murray, Marquess of Tullibardine E315057 entity
Predicate familyName P18 FINISHED
Object Murray E277547 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: [William Murray, Marquess of Tullibardine, familyName, Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray
Context triple: [William Murray, Marquess of Tullibardine, familyName, Murray]
  • A. Murray
    Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
  • B. Murray
    Murray is an electoral district in the New South Wales Legislative Assembly, covering a large rural region in the state's southwest.
  • C. 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.
  • D. Murray chosen
    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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d34ff288190bdb550a019b7a470 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2dca2c81909cab1aa868ad575d completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:22 p.m.