Triple

T1107754
Position Surface form Disambiguated ID Type / Status
Subject John Krasinski E25524 entity
Predicate hasChild P369 FINISHED
Object Violet Krasinski E26695 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: Violet Krasinski | Statement: [John Krasinski, hasChild, Violet Krasinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Violet Krasinski
Context triple: [John Krasinski, hasChild, Violet Krasinski]
  • A. Violet Krasinski chosen
    Violet Krasinski is the daughter of actors Emily Blunt and John Krasinski.
  • B. Hazel Krasinski
    Hazel Krasinski is the daughter of American actors John Krasinski and Emily Blunt.
  • C. Grace Gummer
    Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
  • D. Mamie Gummer
    Mamie Gummer is an American actress known for her work in film, television, and theater, and for being the daughter of acclaimed actress Meryl Streep.
  • E. Olivia Olson
    Olivia Olson is an American singer and actress best known for her role as Joanna in the film "Love Actually" and for voicing Marceline the Vampire Queen in the animated series "Adventure Time."
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e47e4881908928900df72781f0 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac53935d108190955343cd1d3716b0 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:43 p.m.