Triple

T19165063
Position Surface form Disambiguated ID Type / Status
Subject Michael Zaslow E469157 entity
Predicate name P16 FINISHED
Object Michael Zaslow 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 Zaslow | Statement: [Michael Zaslow, name, Michael Zaslow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Zaslow
Context triple: [Michael Zaslow, name, Michael Zaslow]
  • A. Michael Zaslow chosen
    Michael Zaslow was an American actor best known for his long-running roles on daytime soap operas, particularly as complex, often villainous characters.
  • B. Jeffrey Zaslow
    Jeffrey Zaslow was an American author and journalist best known for co-authoring inspirational bestsellers such as "The Last Lecture" and other notable nonfiction works.
  • C. Jonathan Zalben
    Jonathan Zalben is a film and television composer known for scoring a variety of independent features and documentaries.
  • D. Michael Rachmil
    Michael Rachmil is a film producer best known for his work on the 1987 romantic comedy "Roxanne" starring Steve Martin.
  • E. Marc Zamarin
    Marc Zamarin is a sports executive best known for serving as the general manager of the Philadelphia Wings professional lacrosse team.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15e2720819084b1707497db26a2 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.