Triple

T11184212
Position Surface form Disambiguated ID Type / Status
Subject Mary Churchill E264619 entity
Predicate familyName P18 FINISHED
Object Churchill E876254 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: Churchill | Statement: [Mary Churchill, familyName, Churchill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Churchill
Context triple: [Mary Churchill, familyName, Churchill]
  • A. 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.
  • B. Churchill
    Churchill is a small village in Oxfordshire, England, known for its historic Cotswold stone buildings and rural setting.
  • C. Churchill chosen
    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. Winston Churchill
    Winston Churchill was the British Prime Minister during World War II, renowned for his leadership, stirring speeches, and steadfast resistance to Nazi Germany.
  • E. Berton Churchill
    Berton Churchill was a Canadian-born American character actor of the early 20th century, known for his frequent portrayals of stern authority figures in Hollywood films.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a9c5e081908c85b41a268428fb completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483c1b4f88190b7c38b254d37c7fb completed April 19, 2026, 7:26 a.m.
Created at: April 8, 2026, 9:29 p.m.