Triple

T22103877
Position Surface form Disambiguated ID Type / Status
Subject Bad Education (2019 film) E546236 entity
Predicate screenwriter P2831 FINISHED
Object Mike Makowsky 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: Mike Makowsky | Statement: [Bad Education (2019 film), screenwriter, Mike Makowsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Makowsky
Context triple: [Bad Education (2019 film), screenwriter, Mike Makowsky]
  • A. Mike Makowsky chosen
    Mike Makowsky is an American screenwriter and producer known for his work on films such as "Take Me" and the acclaimed HBO movie "Bad Education."
  • B. Jared Huffman
    Jared Huffman is a Democratic U.S. Representative from California known for his work on environmental protection, public lands, and progressive policy issues.
  • C. Stephen B. Luce
    Stephen B. Luce was a U.S. Navy officer and educator best known for pioneering modern naval professional education and serving as the founding president of the Naval War College.
  • D. Alan Grayson
    Alan Grayson is an American politician and attorney best known for serving as a Democratic U.S. Representative from Florida and for his outspoken, combative style in Congress.
  • E. Marty Mikalski
    Marty Mikalski is the paranoid, stoner college student whose unexpected insight and survival instincts play a crucial role in the horror-comedy film "The Cabin in the Woods."
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291815f88190a6eaf73e444dc1c2 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.