Triple

T20918515
Position Surface form Disambiguated ID Type / Status
Subject Who’s the Man? E515139 entity
Predicate cinematography P1953 FINISHED
Object Adam Kimmel 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: Adam Kimmel | Statement: [Who’s the Man?, cinematography, Adam Kimmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Kimmel
Context triple: [Who’s the Man?, cinematography, Adam Kimmel]
  • A. Adam Kimmel chosen
    Adam Kimmel is an American cinematographer known for his work on acclaimed films such as "Capote," "Lars and the Real Girl," and "Never Let Me Go."
  • B. Joshua Braff
    Joshua Braff is an American novelist known for works such as "The Unthinkable Thoughts of Jacob Green" and "Peep Show," and is the brother of actor and filmmaker Zach Braff.
  • C. Aron Eisenberg
    Aron Eisenberg was an American actor best known for his role as the Ferengi character Nog on the television series Star Trek: Deep Space Nine.
  • D. Spencer Klein
    Spencer Klein is an American voice actor best known for voicing the title character Arnold in the animated television series "Hey Arnold!".
  • E. Matthew Garber
    Matthew Garber was a British child actor best known for playing Michael Banks in Disney’s classic film "Mary Poppins" (1964).
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec647028819082031eb706a62ad5 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.