Triple

T19504920
Position Surface form Disambiguated ID Type / Status
Subject Russian Doll E487997 entity
Predicate castMember P1668 FINISHED
Object Charlie Barnett 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: Charlie Barnett | Statement: [Russian Doll, castMember, Charlie Barnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie Barnett
Context triple: [Russian Doll, castMember, Charlie Barnett]
  • A. Charlie Barnett chosen
    Charlie Barnett is an American actor known for his roles in series such as "Russian Doll," "Chicago Fire," and "You," as well as his appearance in the Star Wars universe.
  • B. Michael Barnwell
    Michael Barnwell is a former English cricketer who played first-class and List A matches, primarily during the 1960s and 1970s.
  • C. Mark Bryant
    Mark Bryant is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and academia.
  • D. Greg Barnett
    Greg Barnett is an actor known for his role in the 2013 television miniseries "The Bible."
  • E. Greg Barnett
    Greg Barnett is a guitarist and vocalist best known as a member of the American punk rock band The Menzingers.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635113fdc819098ea0f738d01925c completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.