Triple

T18819302
Position Surface form Disambiguated ID Type / Status
Subject Peter Medak E460219 entity
Predicate name P16 FINISHED
Object Peter Medak 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: Peter Medak | Statement: [Peter Medak, name, Peter Medak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Medak
Context triple: [Peter Medak, name, Peter Medak]
  • A. Peter Medak chosen
    Peter Medak is a Hungarian-born British film and television director known for works such as the crime biopic "The Krays" and the horror classic "The Changeling."
  • B. Thomas Kostura
    Thomas Kostura is an individual known for being a plaintiff in the landmark same-sex marriage recognition case Tanco v. Haslam in Tennessee.
  • C. Martin Pasko
    Martin Pasko was an American comic book and television writer best known for his work on DC Comics characters, particularly Superman and Batman, and for contributing to various animated series.
  • D. Allan Kovac
    Allan Kovac is a veteran American music and entertainment executive and artist manager known for his work with major rock acts and for founding the management and production company Tenth Street Entertainment.
  • E. George Kralovansky
    George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b8b7d88190a8828746176776ea completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:55 a.m.