Triple

T11680651
Position Surface form Disambiguated ID Type / Status
Subject Guarding Tess E277604 entity
Predicate screenplayBy P15305 FINISHED
Object Peter Torokvei E940596 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 Torokvei | Statement: [Guarding Tess, screenplayBy, Peter Torokvei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Torokvei
Context triple: [Guarding Tess, screenplayBy, Peter Torokvei]
  • A. Peter Torokvei chosen
    Peter Torokvei was a Canadian screenwriter and television producer known for his work on comedy films and series, including contributions to projects like Guarding Tess and the cult TV show SCTV.
  • B. Jack Tornek
    Jack Tornek was a character actor known for small roles in early 20th-century American films, including the 1950s horror movie "Hellgate."
  • C. Viktor E. Viking
    Viktor E. Viking is the costumed Viking warrior who serves as the official mascot and spirited symbol of Portland State University's athletic teams, especially its football program.
  • D. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • E. Anton Sanko
    Anton Sanko is an American composer and producer known for his film and television scores, particularly in the horror and thriller genres.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a461b0908190bef4e1c6777affcf completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83098e2c819081c22462372f64b4 completed April 27, 2026, 3:38 p.m.
Created at: April 8, 2026, 9:40 p.m.