Triple

T7977885
Position Surface form Disambiguated ID Type / Status
Subject Margaret Millar E185491 entity
Predicate familyName P18 FINISHED
Object Millar E35402 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: Millar | Statement: [Margaret Millar, familyName, Millar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Millar
Context triple: [Margaret Millar, familyName, Millar]
  • A. Millar chosen
    Millar is a surname and variant spelling of Miller, commonly found in English-speaking countries.
  • B. Mullally
    Mullally is a surname of Irish origin borne by various notable individuals in fields such as entertainment, sports, and public service.
  • C. Kinnear
    Kinnear is an English surname most notably associated with the British actor Rory Kinnear and his theatrical family.
  • D. Mulally
    Mulally is the surname of Alan Mulally, the American engineer and former CEO known for leading major turnarounds at Boeing and Ford Motor Company.
  • E. Andrew Millar
    Andrew Millar was an 18th-century Scottish-born London bookseller and publisher known for issuing major works of Enlightenment authors, including David Hume.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf84b1081908e60a556d984aad6 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5677968881908835169157244962 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:14 p.m.