Triple

T14723114
Position Surface form Disambiguated ID Type / Status
Subject Berlin Station E345863 entity
Predicate executiveProducer P7225 FINISHED
Object Jonathan Lisco E179118 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: Jonathan Lisco | Statement: [Berlin Station, executiveProducer, Jonathan Lisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Lisco
Context triple: [Berlin Station, executiveProducer, Jonathan Lisco]
  • A. Jonathan Lisco chosen
    Jonathan Lisco is an American television writer, producer, and showrunner known for his work on series such as Animal Kingdom, Halt and Catch Fire, and Jack & Bobby.
  • B. Lawrence DiStasi
    Lawrence DiStasi is an American theater artist and director best known as a co-founder and longtime ensemble member of Chicago’s Lookingglass Theatre Company.
  • C. Jeffrey Licon
    Jeffrey Licon is an American actor best known for playing Carlos García on the Nickelodeon family sitcom "The Brothers García."
  • D. Andrew Cividino
    Andrew Cividino is a Canadian film and television director best known for his work on the acclaimed comedy series "Schitt's Creek."
  • E. Jonathan Sanger
    Jonathan Sanger is an American film producer and director best known for his work on acclaimed films such as "The Elephant Man."
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5e176081909e822881a866ecec completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 1:29 a.m.