Triple

T1108293
Position Surface form Disambiguated ID Type / Status
Subject Sunshine Cleaning E25535 entity
Predicate mainCharacter P1183 FINISHED
Object Norah Lorkowski E217548 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: Norah Lorkowski | Statement: [Sunshine Cleaning, mainCharacter, Norah Lorkowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norah Lorkowski
Context triple: [Sunshine Cleaning, mainCharacter, Norah Lorkowski]
  • A. Rose Lorkowski chosen
    Rose Lorkowski is the struggling single mother and former high school cheerleader who starts a crime-scene cleanup business in the film "Sunshine Cleaning."
  • B. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • C. Nancy Zala
    Nancy Zala was the wife of American actor and director Howard Da Silva.
  • D. Jessica Szohr
    Jessica Szohr is an American actress best known for her role as Vanessa Abrams on the television series "Gossip Girl" and later as a main cast member on the sci-fi comedy-drama "The Orville."
  • E. Nina Gordon
    Nina Gordon is the young, idealistic Southern heiress who serves as a central figure in Harriet Beecher Stowe’s anti-slavery novel "Dred: A Tale of the Great Dismal Swamp."
  • 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_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb7eeda88190bdedb28497fbd81e completed March 8, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:43 p.m.