Triple

T18731377
Position Surface form Disambiguated ID Type / Status
Subject Sunshine Cleaning E458041 entity
Predicate character P662 FINISHED
Object Winston 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: Winston | Statement: [Sunshine Cleaning, character, Winston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winston
Context triple: [Sunshine Cleaning, character, Winston]
  • A. Winston
    Winston is a long-established American cigarette brand known for its filtered cigarettes and prominent mid-20th-century advertising campaigns.
  • B. Winston
    Winston is the given name of Winston Churchill, the British statesman who led the United Kingdom during World War II and later served again as Prime Minister.
  • C. Winston chosen
    Winston is a supporting character in the dark comedy film "Sunshine Cleaning," involved in the story of two sisters who start a crime-scene cleanup business.
  • D. Winston
    Winston is a genetically engineered, hyper-intelligent gorilla scientist and tank hero from the video game Overwatch, known for his jump pack, barrier projector, and leadership role in the Overwatch organization.
  • E. Winston
    Winston is a character in the film "Broken Flowers," known as Don Johnston’s enthusiastic, mystery-loving neighbor who pushes him to investigate his past relationships.
  • 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.