Triple

T9798104
Position Surface form Disambiguated ID Type / Status
Subject George Whitman E237766 entity
Predicate child P120 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: [George Whitman, child, Sylvia Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Whitman
Context triple: [George Whitman, child, 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. Marilyn Rowe
    Marilyn Rowe is a distinguished Australian ballerina and former principal dancer renowned for her long and influential career with The Australian Ballet.
  • C. Barbara Hackett
    Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
  • D. Kate Wollman
    Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
  • E. Elizabeth Peterson
    Elizabeth Peterson is an actress known for her role in the fantasy action film "Avengers Grimm."
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda627cc2c81909ccc2e26751f5e85 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d20d1b170881908954233f927457a0 completed April 5, 2026, 7:19 a.m.
Created at: March 30, 2026, 8:28 p.m.