Triple

T10708161
Position Surface form Disambiguated ID Type / Status
Subject Janet McKenzie Hill E252462 entity
Predicate name P16 FINISHED
Object Janet McKenzie Hill E252462 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: Janet McKenzie Hill | Statement: [Janet McKenzie Hill, name, Janet McKenzie Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janet McKenzie Hill
Context triple: [Janet McKenzie Hill, name, Janet McKenzie Hill]
  • A. Janet McKenzie Hill chosen
    Janet McKenzie Hill was an influential American cookbook author and early 20th-century culinary educator known for popularizing scientific home cooking and baking.
  • B. Patricia Murray
    Patricia Murray is known as the spouse of American glass artist and sculptor Dan Dailey.
  • C. Katherine Whitton Baker
    Katherine Whitton Baker is an American actress known for her award-winning performances in film and television, including her role in the series "Picket Fences."
  • D. Christa B. Allen
    Christa B. Allen is an American actress best known for playing the younger version of Jennifer Garner's character in "13 Going on 30" and for her role as Charlotte Grayson on the TV series "Revenge."
  • E. Gail Stevens
    Gail Stevens is a British casting director known for her work on numerous acclaimed film and television productions.
  • 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_69e8a6567f14819086134cdf3a13aa9b completed April 22, 2026, 10:43 a.m.
Created at: April 8, 2026, 9:13 p.m.