Triple
T16711015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverley |
E406105
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Beverley Beck |
E505686
|
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: Beverley Beck | Statement: [Beverley, hasRiver, Beverley Beck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beverley Beck Context triple: [Beverley, hasRiver, Beverley Beck]
-
A.
Beverley Beck
chosen
Beverley Beck is a canalised waterway in East Yorkshire, England, linking the town of Beverley to the River Hull and historically serving as an important route for local trade and transport.
-
B.
Beverly Wood
Beverly Wood was the wife of American singer and television host Tennessee Ernie Ford.
-
C.
Beverly Bentley
Beverly Bentley was an American actress and model known for her work in film and television during the mid-20th century.
-
D.
Joan Beck
Joan Beck was a writer and journalist who collaborated with pioneering anesthesiologist and neonatologist Virginia Apgar on works about childbirth and infant care.
-
E.
Beverly Kelly
Beverly Kelly is best known as the wife of American actor James Coburn.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e386523fc08190a13a4232af191992 |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d3adef081908692a4a86d7a0779 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.