Triple

T6464737
Position Surface form Disambiguated ID Type / Status
Subject An Officer and a Gentleman E142205 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: [An Officer and a Gentleman, editedBy, Peter Zinner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Zinner
Context triple: [An Officer and a Gentleman, 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a10305081909521ee200cf70a30 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb02cb3c8190917842bb654326ee completed March 27, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:49 p.m.