Triple

T15126661
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Whitman E361307 entity
Predicate name P16 FINISHED
Object Sylvia Whitman E361307 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: Sylvia Whitman | Statement: [Sylvia Whitman, name, Sylvia Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Whitman
Context triple: [Sylvia Whitman, name, Sylvia Whitman]
  • A. Sylvia Whitman chosen
    Sylvia Whitman is a British-American bookseller and literary figure best known for running the iconic Shakespeare and Company bookshop in Paris, continuing her father George Whitman’s legacy as a hub for writers and readers.
  • B. Eileen Morrow
    Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
  • C. Mary Ruth McNamara
    Mary Ruth McNamara was the wife of NASA engineer and administrator George M. Low, a key figure in the U.S. space program.
  • D. Marilyn Rowe
    Marilyn Rowe is a distinguished Australian ballerina and former principal dancer renowned for her long and influential career with The Australian Ballet.
  • E. Barbara Hackett
    Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005a1b9288190954f2d92549805e5 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1337412081909f683ed542699ed5 completed May 9, 2026, 10:57 a.m.
Created at: April 10, 2026, 3:06 a.m.