Triple

T5713176
Position Surface form Disambiguated ID Type / Status
Subject Yentl (1983 film) E125958 entity
Predicate editedBy P1954 FINISHED
Object Peter Zinner E321430 NE FINISHED

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: Peter Zinner | Statement: [Yentl (1983 film), editedBy, Peter Zinner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Zinner
Context triple: [Yentl (1983 film), editedBy, Peter Zinner]
  • A. Peter Zinner chosen
    Peter Zinner was an Austrian-born American film editor renowned for his work on major Hollywood films, including classics like The Deer Hunter and The Godfather.
  • B. Thomas Häßler
    Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
  • C. Peter Riedler
    Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
  • D. Christian Zurbuchen
    Christian Zurbuchen was a mountaineer known for making the first recorded ascent of the challenging Caucasus peak Mount Ushba.
  • E. Klaus Schütz
    Klaus Schütz was a German Social Democratic politician best known for serving as Governing Mayor of West Berlin during the late 1960s and early 1970s, a key period of the Cold War.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024b5205c8190aaab291a6e485ec1 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0b3412c8190a4b97863e060e928 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:46 p.m.