Triple

T16205204
Position Surface form Disambiguated ID Type / Status
Subject Mars (TV series) E393309 entity
Predicate executiveProducer P7225 FINISHED
Object Michael Rosenberg 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 Rosenberg | Statement: [Mars (TV series), executiveProducer, Michael Rosenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Rosenberg
Context triple: [Mars (TV series), executiveProducer, Michael Rosenberg]
  • A. Michael Rosenberg chosen
    Michael Rosenberg is a television producer and executive known for his work on the Western drama series "Hell on Wheels."
  • B. Ken Rosenberg
    Ken Rosenberg is a neurotic, fast-talking criminal lawyer and associate of the protagonist in the Grand Theft Auto series, most prominently featured in Vice City.
  • C. William Rosenberg
    William Rosenberg was an American entrepreneur best known for creating the coffee and doughnut chain that became Dunkin' Donuts.
  • D. Michael Gottlieb
    Michael Gottlieb was an American film director and screenwriter best known for directing the 1987 fantasy comedy "Mannequin" and other lighthearted Hollywood comedies.
  • E. Eric Tannenbaum
    Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270d6e5c8190aee4bcca76cbe47c completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:03 a.m.