Triple

T19982925
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn (2015 film) E493861 entity
Predicate castMember P1668 FINISHED
Object Michael Zegen 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 Zegen | Statement: [Brooklyn (2015 film), castMember, Michael Zegen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Zegen
Context triple: [Brooklyn (2015 film), castMember, 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. Adam Mazer
    Adam Mazer is an American screenwriter known for his work on films and television projects, often in the thriller and crime genres.
  • C. Michael Bille
    Michael Bille was a notable member of the Danish Bille noble family, recognized for his role and status within this historically influential lineage.
  • D. 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.
  • E. 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.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d14c3c08190b1ba8f4da08a4ccf completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.