Triple

T8154428
Position Surface form Disambiguated ID Type / Status
Subject Teddy E190410 entity
Predicate appearsIn P795 FINISHED
Object Mr. Bean (live-action TV series) 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 (live-action TV series) | Statement: [Teddy, appearsIn, Mr. Bean (live-action TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Bean (live-action TV series)
Context triple: [Teddy, appearsIn, Mr. Bean (live-action TV series)]
  • 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. Mr. Bean’s Holiday
    Mr. Bean’s Holiday is a 2007 comedy film following Rowan Atkinson’s bumbling character on a chaotic trip to the French Riviera.
  • C. Little Britain
    Little Britain is a British sketch comedy television series featuring a range of eccentric characters and catchphrases, created by and starring David Walliams and Matt Lucas.
  • D. Bert & Bertie
    Bert & Bertie are a female directing duo known for their quirky, character-driven films and television work, including the offbeat comedy-drama "Troop Zero."
  • E. 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.
  • 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_69ccbf0518688190b519fbe1823b95c2 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.