Triple

T19416218
Position Surface form Disambiguated ID Type / Status
Subject The Ref E485722 entity
Predicate cinematographyBy 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: [The Ref, cinematographyBy, Adam Kimmel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Kimmel
Context triple: [The Ref, cinematographyBy, 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. Matthew Garber
    Matthew Garber was a British child actor best known for playing Michael Banks in Disney’s classic film "Mary Poppins" (1964).
  • E. Ashley Zukerman
    Ashley Zukerman is an Australian-American actor known for his roles in television series such as "A Teacher," "Succession," and the "Fear Street" film trilogy.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af9c8fc81909860de10b6720207 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.