Triple

T19137037
Position Surface form Disambiguated ID Type / Status
Subject Krampus (2015 film) E468459 entity
Predicate screenwriter P2831 FINISHED
Object Michael Dougherty 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: Michael Dougherty | Statement: [Krampus (2015 film), screenwriter, Michael Dougherty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Dougherty
Context triple: [Krampus (2015 film), screenwriter, Michael Dougherty]
  • A. Michael Dougherty chosen
    Michael Dougherty is an American filmmaker and screenwriter best known for genre films like Trick 'r Treat and Krampus and for directing the MonsterVerse installment Godzilla: King of the Monsters.
  • B. Michael Dougherty
    Michael Dougherty is an entrepreneur best known as a co-founder of the online real estate brokerage platform Redfin.
  • C. Michael McDonough
    Michael McDonough is a cinematographer known for his work on independent and feature films, including the drama "Darling Companion."
  • D. Peter Dougherty
    Peter Dougherty was a television producer and director best known for co-creating and shaping the influential hip-hop music video program "Yo! MTV Raps."
  • E. Michael K. Hannon
    Michael K. Hannon is an American local politician who served as the mayor of Newark, California.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3edd1c48190b86bef530ebbd092 completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.