Triple

T22208109
Position Surface form Disambiguated ID Type / Status
Subject Leó Weiner E548869 entity
Predicate name P16 FINISHED
Object Leó Weiner 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: Leó Weiner | Statement: [Leó Weiner, name, Leó Weiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leó Weiner
Context triple: [Leó Weiner, name, Leó Weiner]
  • A. Leó Weiner chosen
    Leó Weiner was a prominent Hungarian composer and influential music educator of the early 20th century, known for his contributions to chamber music and for mentoring many notable musicians.
  • B. André Weinfeld
    André Weinfeld is a French-born film and television producer, director, writer, and cinematographer known for his work in both European and American media.
  • C. Oscar Lerman
    Oscar Lerman was a British nightclub owner and art dealer best known as the husband of novelist Jackie Collins.
  • D. Arie Wilner
    Arie Wilner was a Jewish resistance fighter and key organizer in the Warsaw Ghetto Uprising during World War II.
  • E. Leonard Bramer
    Leonard Bramer was a Dutch Golden Age painter known for his atmospheric nocturnal scenes and history paintings influenced by Italian art.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b29eb808190ab8abaa1e0e354fa completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.