Triple

T20162063
Position Surface form Disambiguated ID Type / Status
Subject The Fortune Teller E491731 entity
Predicate featuresCharacter P626 FINISHED
Object Barras NE NERFINISHED

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: [The Fortune Teller, featuresCharacter, Barras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barras
Context triple: [The Fortune Teller, featuresCharacter, 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. Barra
    Barra is an Arabic female given name historically borne by early Islamic-era women, including relatives of the Prophet Muhammad.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e505888190a05e26a3c5a0ede1 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.