Triple

T12699872
Position Surface form Disambiguated ID Type / Status
Subject The Puppy Episode E303430 entity
Predicate writer P1360 FINISHED
Object Jonathan Stark E498018 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 Stark | Statement: [The Puppy Episode, writer, Jonathan Stark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Stark
Context triple: [The Puppy Episode, writer, Jonathan Stark]
  • A. Jonathan Stark chosen
    Jonathan Stark is an American actor and television writer best known for his role in the 1985 horror-comedy film "Fright Night" and for his work on sitcoms such as "According to Jim."
  • B. James Stark
    James Stark was a 19th-century English landscape painter associated with the Norwich School, known for his detailed and atmospheric depictions of the English countryside.
  • C. Dan Stark
    Dan Stark is a fictional, rule-bending veteran detective from the TV series "The Good Guys," portrayed by actor Bradley Whitford.
  • D. Johnny Stark
    Johnny Stark was a prominent French impresario and talent manager best known for discovering and managing singer Mireille Mathieu.
  • E. Andy Starke
    Andy Starke is a British film producer known for his work on distinctive independent and genre films, including projects with the production company Rook Films.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ef65ac8190aedf9ade3a68e24e completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b27790819085f0f03af33f8f21 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.