Triple

T3630372
Position Surface form Disambiguated ID Type / Status
Subject Kicking & Screaming E76939 entity
Predicate editedBy P1954 FINISHED
Object Peter Teschner E112887 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 Teschner | Statement: [Kicking & Screaming, editedBy, Peter Teschner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Teschner
Context triple: [Kicking & Screaming, editedBy, Peter Teschner]
  • A. Peter Teschner chosen
    Peter Teschner is a film editor known for his work on major Hollywood comedies, including the hit movie "Horrible Bosses."
  • B. Peter von Aspelt
    Peter von Aspelt was a prominent early 14th-century Archbishop of Mainz and influential statesman who played a key role in the politics of the Holy Roman Empire, including the election of multiple German kings.
  • C. Peter Zinner
    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.
  • D. Tobias Kohn
    Tobias Kohn is a computer scientist and software developer known for his contributions to the Python language, including co-authoring PEP 622 on pattern matching.
  • E. Peter Viertel
    Peter Viertel was a German-born American novelist and screenwriter known for works like "White Hunter Black Heart" and for his contributions to mid-20th-century Hollywood cinema.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc300223881909019982ebf194f78 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4882f7f7c8190933b1c358df818ef completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:23 p.m.