Triple

T15699453
Position Surface form Disambiguated ID Type / Status
Subject Mr. Fox E380555 entity
Predicate spouse P13 FINISHED
Object Mrs. Fox E377434 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: Mrs. Fox | Statement: [Mr. Fox, spouse, Mrs. Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. Fox
Context triple: [Mr. Fox, spouse, Mrs. Fox]
  • A. Mrs. Fox chosen
    Mrs. Fox is the clever, supportive, and strong-willed wife of Mr. Fox in Roald Dahl’s story "Fantastic Mr. Fox," known for her resourcefulness and devotion to her family.
  • B. Mr. Fox
    Mr. Fox is the clever, daring, and resourceful fox protagonist of Roald Dahl’s children’s book "Fantastic Mr. Fox," known for outwitting three cruel farmers.
  • C. Flicka
    Flicka is a 2006 family drama film about a teenage girl and her bond with a wild mustang, adapted from the classic novel "My Friend Flicka."
  • D. Fantastic Mr. Fox
    Fantastic Mr. Fox is a 2009 stop-motion animated film directed by Wes Anderson, adapted from Roald Dahl’s children’s book about a clever fox who outwits a trio of cruel farmers.
  • E. Betty Fox
    Betty Fox was a Canadian humanitarian and the mother of cancer research activist Terry Fox, known for her extensive work continuing her son's legacy through the Terry Fox Foundation.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6d71308190971c10c599da9645 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82ee580c819082ad53db6da91f66 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:44 a.m.