Triple

T21952060
Position Surface form Disambiguated ID Type / Status
Subject Quiz Show E542092 entity
Predicate producer P490 FINISHED
Object Michael Nozik 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 Nozik | Statement: [Quiz Show, producer, Michael Nozik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Nozik
Context triple: [Quiz Show, producer, Michael Nozik]
  • A. Michael Nozik chosen
    Michael Nozik is an American film producer known for his work on acclaimed dramas and international co-productions, including the geopolitical thriller "Syriana."
  • B. Michael Hecht
    Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
  • C. Michael Hecht
    Michael Hecht is a scientist best known for leading NASA’s MOXIE experiment on the Perseverance rover, which demonstrates in-situ oxygen production on Mars.
  • D. Eli Yablonovitch
    Eli Yablonovitch is an American physicist and engineer renowned as a pioneer of photonic crystals and a leading figure in the field of photonics and optoelectronics.
  • E. Stephen Mazur
    Stephen Mazur is a creator known for his work associated with Samantha Cole.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243c84d4819097f5a93b128f024b completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:58 p.m.