Triple

T15672039
Position Surface form Disambiguated ID Type / Status
Subject Mary Nisbet E377337 entity
Predicate familyName P18 FINISHED
Object Nisbet E621735 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: Nisbet | Statement: [Mary Nisbet, familyName, Nisbet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nisbet
Context triple: [Mary Nisbet, familyName, Nisbet]
  • A. Nisbet chosen
    Nisbet is a Scottish-origin surname borne by various notable individuals across history, including figures in politics, the arts, and academia.
  • B. Laird
    Laird is a given name of Scottish origin traditionally used as a masculine middle or first name, associated with landownership and nobility.
  • C. McNaughton
    McNaughton is a Scottish-origin surname borne by various notable individuals in fields such as politics, the military, academia, and the arts.
  • D. McDowall
    McDowall is a Scottish surname most famously associated with English-American actor Roddy McDowall, known for his roles in film, television, and theater.
  • E. Ramsay
    Ramsay is a Scottish-origin surname borne by numerous notable figures in British history, including military leaders, politicians, and artists.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f13b1b08190beabc9f4098aa096 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ed8d9188190a68035d2508b117d completed May 9, 2026, 5:28 p.m.
Created at: April 10, 2026, 4:16 a.m.