Triple

T18117795
Position Surface form Disambiguated ID Type / Status
Subject Henry Winston Spencer-Churchill E433652 entity
Predicate givenName P17 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: [Henry Winston Spencer-Churchill, givenName, Winston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winston
Context triple: [Henry Winston Spencer-Churchill, givenName, 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 chosen
    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
    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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd737708190863fba97cdc20d88 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.