Triple

T8154397
Position Surface form Disambiguated ID Type / Status
Subject Bean (1997 film) E190409 entity
Predicate basedOn P98 FINISHED
Object Mr. Bean E36279 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: Mr. Bean | Statement: [Bean (1997 film), basedOn, Mr. Bean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Bean
Context triple: [Bean (1997 film), basedOn, Mr. Bean]
  • A. Mr. Bean chosen
    Mr. Bean is a largely silent, bumbling British comedy character known for his childlike antics and visual gags in the television series and films of the same name.
  • B. Pee Wee
    Pee Wee is the official mascot of the Brooklyn Cyclones minor league baseball team, entertaining fans at games with energetic antics and team spirit.
  • C. Pee Wee
    "Pee Wee" is a track by the jazz fusion band Sorcerer, likely showcasing their characteristic blend of improvisation and electric jazz elements.
  • D. Paddington
    Paddington is an inner-city, historically affluent suburb of Sydney, Australia, known for its Victorian terrace houses, boutique shopping, and vibrant arts and café culture.
  • E. Paddington
    Paddington is a central London district best known for its major railway station, historic canal basin, and association with the fictional Paddington Bear.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67a886948190a728909f8381c2f1 completed April 1, 2026, 6:44 p.m.
Created at: March 30, 2026, 5:37 p.m.