Triple

T20744487
Position Surface form Disambiguated ID Type / Status
Subject Ecosse Films E510541 entity
Predicate notableWork P4 FINISHED
Object Mrs Brown 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: Mrs Brown | Statement: [Ecosse Films, notableWork, Mrs Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs Brown
Context triple: [Ecosse Films, notableWork, Mrs Brown]
  • A. Mrs Brown chosen
    Mrs Brown is a 1997 British historical drama film about the close relationship between Queen Victoria and her Scottish servant John Brown.
  • B. Mrs Brown's Boys
    Mrs Brown's Boys is a popular Irish-British television sitcom created by and starring Brendan O'Carroll, centered on the loud, meddling matriarch Agnes Brown and her family.
  • C. Mrs. Brown
    Mrs. Brown is the kind, motherly figure in the Paddington Bear stories who welcomes the bear into her family and home in London.
  • D. Love, Rosie
    Love, Rosie is a 2014 romantic comedy-drama film based on Cecelia Ahern’s novel "Where Rainbows End," following the lifelong, will-they-won’t-they relationship between two best friends.
  • E. Mrs. Harris Goes to Paris
    Mrs. Harris Goes to Paris is a 2022 British-French comedy-drama film, based on Paul Gallico’s novel, about a widowed cleaning lady in 1950s London who embarks on a life-changing trip to Paris to buy a Christian Dior dress.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.