Triple

T15992645
Position Surface form Disambiguated ID Type / Status
Subject Taissa Turner E387872 entity
Predicate createdBy P806 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: [Taissa Turner, createdBy, Jonathan Lisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Lisco
Context triple: [Taissa Turner, createdBy, 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. Michael Raffetto
    Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
  • C. 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.
  • D. Jeffrey Licon
    Jeffrey Licon is an American actor best known for playing Carlos García on the Nickelodeon family sitcom "The Brothers García."
  • E. Andrew Cividino
    Andrew Cividino is a Canadian film and television director best known for his work on the acclaimed comedy series "Schitt's Creek."
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157844ed881908b42bfc1bb740d4e completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b274fa3481908b019036cd2ae627 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 4:54 a.m.