Triple

T18738642
Position Surface form Disambiguated ID Type / Status
Subject Myron McCormick E458232 entity
Predicate notableWork P4 FINISHED
Object The Interns 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: The Interns | Statement: [Myron McCormick, notableWork, The Interns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Interns
Context triple: [Myron McCormick, notableWork, The Interns]
  • A. The Interns chosen
    The Interns is a 1962 American medical drama film that follows a group of young doctors navigating the personal and professional challenges of their hospital internships.
  • B. The Internship
    The Internship is a 2013 comedy film starring Vince Vaughn and Owen Wilson as middle-aged salesmen who become interns at Google, exploring themes of career reinvention and tech culture.
  • C. The Intern
    The Intern is a 2015 comedy-drama film directed by Nancy Meyers, starring Anne Hathaway and Robert De Niro in a story about a young fashion startup CEO who forms an unlikely bond with her senior intern.
  • D. The Men from the Ministry
    The Men from the Ministry is a British radio comedy series that humorously follows the bureaucratic blunders of civil servants in a fictional government department.
  • E. Overheard
    Overheard is a Hong Kong crime thriller film featuring Daniel Wu in a story centered on high-stakes surveillance and financial intrigue.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768ca990819098102f8522ce401f completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.