Triple

T21994175
Position Surface form Disambiguated ID Type / Status
Subject Tell Me a Story E543161 entity
Predicate executiveProducer P7225 FINISHED
Object Aaron Kaplan 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: Aaron Kaplan | Statement: [Tell Me a Story, executiveProducer, Aaron Kaplan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Kaplan
Context triple: [Tell Me a Story, executiveProducer, Aaron Kaplan]
  • A. Aaron Kaplan chosen
    Aaron Kaplan is a television producer and executive known for developing and overseeing numerous network and cable series through his production company.
  • B. Neil Kaplan
    Neil Kaplan is an American voice actor best known for portraying heroic characters in animation and video games, including Optimus Prime in the "Transformers: Robots in Disguise" series.
  • C. Greg Kaplan
    Greg Kaplan is an economist known for his research on household heterogeneity, consumption, and macroeconomic policy, and for his contributions to modern macroeconomic modeling.
  • D. Jonathan Kaplan
    Jonathan Kaplan is an American film and television director best known for his work on the acclaimed 1988 courtroom drama "The Accused."
  • E. Saul Kaplan
    Saul Kaplan, better known as Saul Chaplin, was an American composer, arranger, and film music director renowned for his work on classic Hollywood musicals.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:17 p.m.