Triple

T12947629
Position Surface form Disambiguated ID Type / Status
Subject Happiest Season E309809 entity
Predicate stars P1956 FINISHED
Object Dan Levy E358448 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: Dan Levy | Statement: [Happiest Season, stars, Dan Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Levy
Context triple: [Happiest Season, stars, Dan Levy]
  • A. Dan Levy chosen
    Dan Levy is a Canadian actor, writer, and producer best known as the co-creator and star of the acclaimed television series "Schitt's Creek."
  • B. Daniel Levy
    Daniel Levy is a British businessman best known for his long-serving and influential role as chairman of Premier League football club Tottenham Hotspur.
  • C. Lucas Pegg
    Lucas Pegg is the protagonist of the science fiction story "Threshold," around whom the central narrative and character development revolve.
  • D. Julian Barratt
    Julian Barratt is an English comedian, actor, musician, and writer best known as one half of the surreal comedy duo behind The Mighty Boosh.
  • E. Damon Herriman
    Damon Herriman is an Australian actor known for his versatile character roles in film and television, including notable performances in series like "Justified" and "Mindhunter" and in Quentin Tarantino's "Once Upon a Time in Hollywood."
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af75bc04819098d98c47fca48ac9 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:43 p.m.