Triple

T20581408
Position Surface form Disambiguated ID Type / Status
Subject Mardi Gras (1958 film) E505662 entity
Predicate screenwriter P2831 FINISHED
Object Hal Kanter 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: Hal Kanter | Statement: [Mardi Gras (1958 film), screenwriter, Hal Kanter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hal Kanter
Context triple: [Mardi Gras (1958 film), screenwriter, Hal Kanter]
  • A. Hal Kanter chosen
    Hal Kanter was an American comedy writer, director, and producer known for his work in film and television, including writing for major Hollywood features and popular TV shows.
  • B. Jay Kanter
    Jay Kanter is an American film executive and producer best known for co-founding The Ladd Company and for his influential work in Hollywood studio leadership.
  • C. Lori Peters
    Lori Peters is an American drummer best known for her tenure with the Christian rock band Skillet.
  • D. Anne Kantor
    Anne Kantor is a member of the Murdoch family and the daughter of media executive Elisabeth Murdoch.
  • E. Karen Kepner
    Karen Kepner is a fictional character in Grey's Anatomy known as the strict, religious mother of trauma surgeon April Kepner.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90e98a88190b5cb077973f97e68 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:40 a.m.