Triple

T13609270
Position Surface form Disambiguated ID Type / Status
Subject Joel Maisel E325143 entity
Predicate portrayedBy P1507 FINISHED
Object Michael Zegen E268520 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: Michael Zegen | Statement: [Joel Maisel, portrayedBy, Michael Zegen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Zegen
Context triple: [Joel Maisel, portrayedBy, Michael Zegen]
  • A. Michael Zegen chosen
    Michael Zegen is an American actor known for his roles in independent films and television series such as "The Marvelous Mrs. Maisel" and "Boardwalk Empire."
  • B. Michael Elias
    Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
  • C. Simon Konecki
    Simon Konecki is a British charity entrepreneur best known for co-founding the clean-water organization Drop4Drop and for his former marriage to singer Adele.
  • D. Matthias Zell
    Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
  • E. Michael David
    Michael David is a theatrical producer best known for his work on the hit Broadway musical comedy "Spamalot."
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f98286c8190a866b5edc21f1225 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.