Triple

T8409583
Position Surface form Disambiguated ID Type / Status
Subject Paul Barras E198586 entity
Predicate hasFamilyName P18 FINISHED
Object Barras E191753 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: Barras | Statement: [Paul Barras, hasFamilyName, Barras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barras
Context triple: [Paul Barras, hasFamilyName, Barras]
  • A. Barras chosen
    Barras is a French surname most notably associated with Paul Barras, a leading political figure of the French Revolution and the Directory.
  • B. Barra
    Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
  • C. Barra
    Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
  • D. De Barra
    De Barra is a variant form of the name Barra, typically used as a surname or family name in Irish and Scottish contexts.
  • E. Barrera
    Barrera is a Spanish-language surname borne by numerous notable individuals, including Mexican boxing champion Marco Antonio Barrera.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8317045c8190b69cc99854b633be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0317cb188190b207bcaffb629a75 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:05 p.m.