Triple

T12449345
Position Surface form Disambiguated ID Type / Status
Subject Samuel Giamatti E297487 entity
Predicate grandmother P3524 FINISHED
Object Toni Marilyn Smith E312533 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: Toni Marilyn Smith | Statement: [Samuel Giamatti, grandmother, Toni Marilyn Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toni Marilyn Smith
Context triple: [Samuel Giamatti, grandmother, Toni Marilyn Smith]
  • A. Toni Marilyn Smith chosen
    Toni Marilyn Smith is the mother of American actor Paul Giamatti.
  • B. Dawn Tinsley
    Dawn Tinsley is the receptionist in the original UK version of "The Office," known for her unfulfilled artistic ambitions and complicated, slow-burning romance with Tim Canterbury.
  • C. Toni Stevens
    Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
  • D. Toni May
    Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
  • E. Darlene Gillespie
    Darlene Gillespie is an American singer and former child actress best known as one of the original Mouseketeers on the 1950s television show The Mickey Mouse Club.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9e592c81908cf7f3ca170d942c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9f4dd08190b1d62b03d68cc8a6 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.