Triple

T18662446
Position Surface form Disambiguated ID Type / Status
Subject The Great Mouse Detective E456233 entity
Predicate supportingCharacter P7748 FINISHED
Object Mrs. Judson 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. Judson | Statement: [The Great Mouse Detective, supportingCharacter, Mrs. Judson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. Judson
Context triple: [The Great Mouse Detective, supportingCharacter, Mrs. Judson]
  • A. Mrs. Judson chosen
    Mrs. Judson is the kind, maternal housekeeper and caretaker of Basil of Baker Street in Disney’s animated film "The Great Mouse Detective."
  • B. Mrs. Risley
    Mrs. Risley is the mother of Elaine Risley, the protagonist of Margaret Atwood’s novel "Cat’s Eye," and a key influence on her daughter’s unconventional upbringing and artistic development.
  • C. Almira Sessions
    Almira Sessions was an American character actress known for her numerous supporting roles in Hollywood films from the 1930s through the 1950s.
  • D. Miss Mary Shepherd
    Miss Mary Shepherd is the eccentric, homeless elderly woman who lives in a van in Alan Bennett’s autobiographical story "The Lady in the Van."
  • E. Mrs. Washburn
    Mrs. Washburn is a character portrayed by Ann-Margret, likely known from her role in a film or television production.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508b35ec819085c1c4c2c98d6672 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.