Triple

T21961427
Position Surface form Disambiguated ID Type / Status
Subject Paul Lynde E542338 entity
Predicate film P9968 FINISHED
Object Beach Blanket Bingo 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: Beach Blanket Bingo | Statement: [Paul Lynde, film, Beach Blanket Bingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beach Blanket Bingo
Context triple: [Paul Lynde, film, Beach Blanket Bingo]
  • A. Beach Blanket Bingo chosen
    Beach Blanket Bingo is a 1965 American musical beach party film, part of the popular Frankie Avalon and Annette Funicello series, known for its lighthearted surf culture, music, and campy humor.
  • B. Beach Party
    Beach Party is a 1963 American musical comedy film that helped launch the popular 1960s beach party movie genre.
  • C. China Beach
    China Beach is a small, scenic cove and sandy beach in San Francisco known for its views of the Golden Gate Bridge and the Marin Headlands.
  • D. China Beach
    China Beach is an American television drama series set during the Vietnam War that focuses on the lives of medical and military personnel at an evacuation hospital.
  • E. Bingo: The King of the Mornings
    Bingo: The King of the Mornings is a Brazilian biographical comedy-drama film loosely inspired by the life of TV clown Bozo’s Brazilian interpreter, exploring the behind-the-scenes world of 1980s television fame and personal downfall.
  • 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12455e99c819092ec59fe571f814e completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8 p.m.