Triple

T22315840
Position Surface form Disambiguated ID Type / Status
Subject Mrs. Tittlemouse E551639 entity
Predicate hasVisitor P1096 FINISHED
Object Mr. Jackson 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: Mr. Jackson | Statement: [Mrs. Tittlemouse, hasVisitor, Mr. Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Jackson
Context triple: [Mrs. Tittlemouse, hasVisitor, Mr. Jackson]
  • A. Mr. Jackson chosen
    Mr. Jackson is a messy, intrusive toad character in Beatrix Potter’s children’s story "The Tale of Mrs. Tittlemouse."
  • B. Mr. Jackson
    Mr. Jackson is a character in the play "Beggar on Horseback," typically portrayed as a figure embodying materialism and conventional success in contrast to the protagonist’s artistic ideals.
  • C. Mr. Johnson
    Mr. Johnson is a fictional character who appears in the work titled "The Psychiatrist."
  • D. Mr. Robinson
    Mr. Robinson is the father of Elaine Robinson, a central character in the story of "The Graduate."
  • E. Mister Johnson
    Mister Johnson is a 1990 drama film directed by Bruce Beresford, adapted from Joyce Cary’s novel about a Nigerian clerk navigating British colonial rule in the 1920s.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1575287688190aa642bb49b24f5a1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.