Triple

T20736407
Position Surface form Disambiguated ID Type / Status
Subject Leon Schiller E509720 entity
Predicate name P16 FINISHED
Object Leon Schiller 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: Leon Schiller | Statement: [Leon Schiller, name, Leon Schiller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leon Schiller
Context triple: [Leon Schiller, name, Leon Schiller]
  • A. Leon Schiller chosen
    Leon Schiller was a prominent Polish theater and film director, critic, and theoretician, regarded as one of the key figures in 20th-century Polish performing arts.
  • B. Michael Waldstein
    Michael Waldstein is a Catholic theologian and scholar best known for his authoritative English translation and commentary on Pope John Paul II’s Theology of the Body.
  • C. Leon Berkowitz
    Leon Berkowitz was an American abstract painter associated with the Washington Color School, known for his luminous color fields and atmospheric explorations of light.
  • D. William Sheinberg
    William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
  • E. Steven Fierberg
    Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20a02d48190bba22d1bdbeb370d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:31 p.m.