Triple

T10194071
Position Surface form Disambiguated ID Type / Status
Subject X2 E238114 entity
Predicate screenwriter P2831 FINISHED
Object Michael Dougherty E302519 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: Michael Dougherty | Statement: [X2, screenwriter, Michael Dougherty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Dougherty
Context triple: [X2, 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 McDonough
    Michael McDonough is a cinematographer known for his work on independent and feature films, including the drama "Darling Companion."
  • C. 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."
  • D. Michael K. Hannon
    Michael K. Hannon is an American local politician who served as the mayor of Newark, California.
  • E. Michael O’Rourke
    Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
  • 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_69ca84de1b208190bf17bb305b002605 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdedc7cc748190bceb8f657afcc054 completed April 2, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7d465bc8190b419de253616b0fd completed April 8, 2026, 7:09 p.m.
Created at: March 30, 2026, 9:13 p.m.