Triple

T10708189
Position Surface form Disambiguated ID Type / Status
Subject Janet McKenzie Hill E252462 entity
Predicate studentOf P48 FINISHED
Object Fannie Farmer E6596 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: Fannie Farmer | Statement: [Janet McKenzie Hill, studentOf, Fannie Farmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fannie Farmer
Context triple: [Janet McKenzie Hill, studentOf, Fannie Farmer]
  • A. Fannie Farmer chosen
    Fannie Farmer was an influential American cook and author whose 1896 "Boston Cooking-School Cook Book" helped standardize modern recipe measurements and home cooking practices.
  • B. Barbara Crocker
    Barbara Crocker was a British artist, illustrator, and writer known for her landscape paintings and travel books.
  • C. Fannie Hobart
    Fannie Hobart was the daughter of Garret Hobart, the 24th Vice President of the United States under President William McKinley.
  • D. Fay Tincher
    Fay Tincher was an American silent film actress and comedian known for her energetic performances in early 20th-century cinema.
  • E. Sarah Borden
    Sarah Borden is a key character in Christopher Nolan's film "The Prestige," serving as Alfred Borden's wife and a pivotal emotional anchor in the story's exploration of obsession and sacrifice.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9990760b48190a05753974cdf556c completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:13 p.m.