Triple

T19641032
Position Surface form Disambiguated ID Type / Status
Subject Winston Churchill Middle School E471536 entity
Predicate namedAfter P63 FINISHED
Object Winston Churchill 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 Churchill | Statement: [Winston Churchill Middle School, namedAfter, Winston Churchill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winston Churchill
Context triple: [Winston Churchill Middle School, namedAfter, Winston Churchill]
  • A. Winston Churchill chosen
    Winston Churchill was the British Prime Minister during World War II, renowned for his leadership, stirring speeches, and steadfast resistance to Nazi Germany.
  • B. Churchill
    Churchill is a small village in Oxfordshire, England, known for its historic Cotswold stone buildings and rural setting.
  • C. Churchill
    Churchill is an English noble family best known for producing prominent statesmen and military leaders, most notably Winston Churchill and the Dukes of Marlborough.
  • D. Churchill
    Churchill is a small northern Canadian town on the shores of Hudson Bay, famous for its polar bear and beluga whale populations and its role as a prime location for viewing the Northern Lights.
  • E. Churchill
    Churchill is a suburban borough in Allegheny County, Pennsylvania, located near Pittsburgh.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6412224d481909524d7654a36d49b completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.