Triple

T7738976
Position Surface form Disambiguated ID Type / Status
Subject Roger MacBride E175456 entity
Predicate familyName P18 FINISHED
Object MacBride E369683 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: MacBride | Statement: [Roger MacBride, familyName, MacBride]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MacBride
Context triple: [Roger MacBride, familyName, MacBride]
  • A. MacBride chosen
    MacBride is an Irish surname most notably associated with Seán MacBride, a Nobel Peace Prize–winning politician and human rights advocate.
  • B. MacRae
    MacRae is a Scottish surname associated with various notable individuals in fields such as entertainment, sports, and public life.
  • C. McBride
    McBride is a common Irish and Scottish surname historically associated with Gaelic origins and widespread in English-speaking countries.
  • D. McBride
    McBride is a series of American television mystery films starring John Larroquette as a dogged defense attorney solving complex criminal cases.
  • E. Frieda MacTeer
    Frieda MacTeer is a young African American girl in Toni Morrison’s novel "The Bluest Eye," known for her protective, outspoken nature and her role in witnessing and responding to the injustices faced by her friend Pecola Breedlove.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035bcd94819080d5553e602e6c61 completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3db6a481909750c13f9141b84b completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.