Triple

T20167715
Position Surface form Disambiguated ID Type / Status
Subject Kristen Pfaff E491869 entity
Predicate familyName P18 FINISHED
Object Pfaff 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: Pfaff | Statement: [Kristen Pfaff, familyName, Pfaff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pfaff
Context triple: [Kristen Pfaff, familyName, Pfaff]
  • A. Pfaff chosen
    Pfaff is a German surname borne by various notable individuals across fields such as politics, science, and the arts.
  • B. Elna
    Elna is a small historic town in the Pyrénées-Orientales department of southern France, known for its ancient cathedral and medieval heritage.
  • C. Braun-Pivet
    Braun-Pivet is the surname of Yaël Braun-Pivet, a prominent French politician who has served as President of the National Assembly.
  • D. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • E. Schaffner
    Schaffner is a surname most notably associated with Franklin J. Schaffner, the Academy Award–winning American film director of works such as "Patton" and "Planet of the Apes."
  • 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_69e66845cb588190820c50eea0c40d83 completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.