Triple

T22374253
Position Surface form Disambiguated ID Type / Status
Subject Misko Hevery E553114 entity
Predicate name P16 FINISHED
Object Misko Hevery 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: Misko Hevery | Statement: [Misko Hevery, name, Misko Hevery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misko Hevery
Context triple: [Misko Hevery, name, Misko Hevery]
  • A. Misko Hevery chosen
    Misko Hevery is a software engineer best known as the creator of the AngularJS web application framework and a prominent advocate of testable, maintainable code.
  • B. George Mihalka
    George Mihalka is a Canadian film and television director best known for his work in the horror genre, particularly the cult slasher film "My Bloody Valentine."
  • C. Martin Pasko
    Martin Pasko was an American comic book and television writer best known for his work on DC Comics characters, particularly Superman and Batman, and for contributing to various animated series.
  • D. Michael Gruskoff
    Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
  • E. Alec Miloslavsky
    Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
  • 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15806b534819083716c2b090ede42 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:45 p.m.