Triple

T19967797
Position Surface form Disambiguated ID Type / Status
Subject Brian M. Stoltz E479985 entity
Predicate name P16 FINISHED
Object Brian M. Stoltz 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: Brian M. Stoltz | Statement: [Brian M. Stoltz, name, Brian M. Stoltz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian M. Stoltz
Context triple: [Brian M. Stoltz, name, Brian M. Stoltz]
  • A. Brian M. Stoltz chosen
    Brian M. Stoltz is an American organic chemist known for his work in synthetic methodology and complex natural product synthesis.
  • B. Stephen Stohn
    Stephen Stohn is a Canadian entertainment lawyer and television producer best known for his long-running role overseeing the Degrassi franchise.
  • C. Michael Sarnoski
    Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
  • D. Ted Stroehmann
    Ted Stroehmann is the awkward yet endearing protagonist of the romantic comedy film "There's Something About Mary," whose long-standing crush on his high school prom date drives the story's misadventures.
  • E. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc6b0208190b1ae30be95712326 completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.