Triple

T467579
Position Surface form Disambiguated ID Type / Status
Subject Anna Murray Douglass E8482 entity
Predicate familyName P18 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: [Anna Murray Douglass, familyName, Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murray
Context triple: [Anna Murray Douglass, familyName, Murray]
  • A. Murray chosen
    Murray is a masculine given name of Scottish origin that has been borne by various notable figures, including physicist Murray Gell-Mann.
  • B. Matthew Taylor
    Matthew Taylor is a British political strategist and policy expert best known for serving as Chief Executive of the Royal Society for the encouragement of Arts, Manufactures and Commerce (RSA) and as a former head of the Number 10 Policy Unit under Prime Minister Tony Blair.
  • C. Frick
    Frick is a surname most prominently associated with American industrialist and art patron Henry Clay Frick.
  • D. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • E. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd9bea081909ee782840f3da12b completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a45802334881908eb49c09f68c1a22 completed March 1, 2026, 3:15 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.