Triple

T18335119
Position Surface form Disambiguated ID Type / Status
Subject John Kruger E439251 entity
Predicate createdBy P806 FINISHED
Object Michael S. Chernuchin 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: Michael S. Chernuchin | Statement: [John Kruger, createdBy, Michael S. Chernuchin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael S. Chernuchin
Context triple: [John Kruger, createdBy, Michael S. Chernuchin]
  • A. Michael S. Chernuchin chosen
    Michael S. Chernuchin is an American television writer and producer best known for his extensive work on the "Law & Order" franchise.
  • B. Michael Aizenman
    Michael Aizenman is a mathematical physicist renowned for his influential work in statistical mechanics, probability theory, and quantum field theory.
  • C. Michael Braverman
    Michael Braverman is a television producer best known for his work as an executive producer on reality and documentary-style TV series.
  • D. Emanuel Stolaroff
    Emanuel Stolaroff was an American businessman best known as the founder of the skincare company Neutrogena.
  • E. Richard P. Rubinstein
    Richard P. Rubinstein is an American film and television producer best known for his work in the horror genre, including collaborations with George A. Romero on projects like Creepshow and the Dead series.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.