Triple

T21933658
Position Surface form Disambiguated ID Type / Status
Subject Russ Meyer E541632 entity
Predicate influenced P9 FINISHED
Object John Waters 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: John Waters | Statement: [Russ Meyer, influenced, John Waters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Waters
Context triple: [Russ Meyer, influenced, John Waters]
  • A. John Waters
    John Waters is an Australian actor known for his work in film, television, and theatre, including prominent roles in historical dramas and popular TV series.
  • B. John Waters chosen
    John Waters is an American filmmaker, writer, and artist known for his transgressive cult films such as "Pink Flamingos" and "Hairspray."
  • C. John S. Waters
    John S. Waters was an American film assistant director recognized in Hollywood’s early studio era, notably honored with an Academy Award for his work.
  • D. Todd Solondz
    Todd Solondz is an American independent filmmaker and screenwriter known for his darkly comic, often controversial films exploring suburban malaise and social taboos, such as "Welcome to the Dollhouse" and "Happiness."
  • E. Rachel Korine
    Rachel Korine is an American actress known for her work in independent and art-house films, particularly through her collaborations with filmmaker Harmony Korine.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12400a1248190b3f8f27f2aa4a858 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:47 p.m.