Triple

T1242805
Position Surface form Disambiguated ID Type / Status
Subject Violet Krasinski E26695 entity
Predicate familyName P18 FINISHED
Object 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: Krasinski | Statement: [Violet Krasinski, familyName, Krasinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasinski
Context triple: [Violet Krasinski, familyName, Krasinski]
  • A. John Krasinski
    John Krasinski is an American actor, writer, and director best known for his role as Jim Halpert on the U.S. version of "The Office" and for directing and starring in the horror film "A Quiet Place."
  • B. Hazel Krasinski
    Hazel Krasinski is the daughter of American actors John Krasinski and Emily Blunt.
  • C. Corey Stoll
    Corey Stoll is an American actor known for his prominent roles in film and television, including his acclaimed performance as Congressman Peter Russo in the political drama series "House of Cards."
  • D. Violet Krasinski chosen
    Violet Krasinski is the daughter of actors Emily Blunt and John Krasinski.
  • E. Marc Tarpenning
    Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf61fadc8190b7b9e23eaa15a61d completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c186fc8190a353c8f0a90ce273 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:47 p.m.