Triple

T16976141
Position Surface form Disambiguated ID Type / Status
Subject John Howard Davies E411814 entity
Predicate notableWork P4 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: [John Howard Davies, notableWork, Mr. Bean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Bean
Context triple: [John Howard Davies, notableWork, 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 a track by the jazz fusion band Sorcerer, likely showcasing their characteristic blend of improvisation and electric jazz elements.
  • C. 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.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d183ff648190a3cb47242bf7e6ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4755ffc8190a5c861462e33d526 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.