Triple
T19865378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caryl Churchill |
E477376
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Churchill | Statement: [Caryl Churchill, familyName, Churchill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Churchill Context triple: [Caryl 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.
Churchill
Churchill is a suburban borough in Allegheny County, Pennsylvania, located near Pittsburgh.
-
E.
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.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589eb24081908715b683de1edc68 |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.