Triple

T18731376
Position Surface form Disambiguated ID Type / Status
Subject Sunshine Cleaning E458041 entity
Predicate character P662 FINISHED
Object Oscar Lorkowski NE NERFINISHED

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: Oscar Lorkowski | Statement: [Sunshine Cleaning, character, Oscar Lorkowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Lorkowski
Context triple: [Sunshine Cleaning, character, Oscar Lorkowski]
  • A. Oscar Lorkowski chosen
    Oscar Lorkowski is a young boy in the film "Sunshine Cleaning," serving as the son of protagonist Rose Lorkowski and a key emotional anchor in the story.
  • B. Leo Klier
    Leo Klier was an American professional basketball player and two-time All-American at Notre Dame who played in the early years of the Basketball Association of America (BAA).
  • C. Oscar Holter
    Oscar Holter is a Swedish music producer and songwriter best known for co-producing major pop hits with artists like The Weeknd.
  • D. Oskar Hagen
    Oskar Hagen was a German art historian and musicologist best known for reviving interest in George Frideric Handel’s operas and helping to establish modern Handel performance traditions.
  • E. Karl Osthoff
    Karl Osthoff was a German philologist known for his contributions to Indo-European linguistics and historical grammar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7854748190b66c4aaadfd67f29 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.