Triple

T23337555
Position Surface form Disambiguated ID Type / Status
Subject Daniel McPhee E591637 entity
Predicate hasRelative P367 FINISHED
Object Peisha Arten 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: Peisha Arten | Statement: [Daniel McPhee, hasRelative, Peisha Arten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peisha Arten
Context triple: [Daniel McPhee, hasRelative, Peisha Arten]
  • A. Peisha Arten chosen
    Peisha Arten is an American vocal coach and singer best known as the mother of actress and singer Katharine McPhee.
  • B. Artěl
    Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
  • C. Artins
    Artins is a small commune in the Loir-et-Cher department of central France, situated within the canton of Montoire-sur-le-Loir.
  • D. Pavelets
    Pavelets is a locality in Russia whose name is notably borne by the Paveletsky railway station in Moscow.
  • E. Planoles
    Planoles is a small mountain municipality in the Ripollès comarca of Catalonia, Spain, known for its scenic Pyrenean landscape and rural character.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1982f8574819090f8b0ba249237a3 completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:17 p.m.