Triple

T13481686
Position Surface form Disambiguated ID Type / Status
Subject Daddy Day Care E318386 entity
Predicate starring P1507 FINISHED
Object Jonathan Katz E577744 NE FINISHED

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: Jonathan Katz | Statement: [Daddy Day Care, starring, Jonathan Katz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Katz
Context triple: [Daddy Day Care, starring, Jonathan Katz]
  • A. Jonathan Katz chosen
    Jonathan Katz is an American comedian, actor, and writer best known for co-creating and starring in the animated series "Dr. Katz, Professional Therapist."
  • B. Jonathan Klein
    Jonathan Klein is a British businessman best known as the co-founder and longtime leader of the global stock photography and media company Getty Images.
  • C. Jason Katz
    Jason Katz is an American screenwriter and story artist best known for his work on Pixar animated films.
  • D. Lewis Katz
    Lewis Katz was an American businessman, philanthropist, and co-owner of the Philadelphia Inquirer known for his major charitable contributions to education and medicine.
  • E. Peter Katz
    Peter Katz is a film producer best known for his work on the horror film "Don't Look Now."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74635145c8190a42199fe4ed8c2a5 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.