Triple
T16155654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Elinor Belsham |
E392033
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Christopher Cockerell |
E78210
|
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: Christopher Cockerell | Statement: [Margaret Elinor Belsham, spouse, Christopher Cockerell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Cockerell Context triple: [Margaret Elinor Belsham, spouse, Christopher Cockerell]
-
A.
Christopher Cockerell
chosen
Christopher Cockerell was a British engineer and inventor best known for creating the hovercraft.
-
B.
Charles Robert Cockerell
Charles Robert Cockerell was a prominent 19th-century British architect known for his influential neoclassical designs and scholarly contributions to architectural history.
-
C.
Jonathan Dyson
Jonathan Dyson is the Chief Fire Officer leading the North Yorkshire Fire and Rescue Service in England.
-
D.
John Whittle
John Whittle was an Australian soldier and recipient of the Victoria Cross, recognized for his bravery during World War I.
-
E.
Douglas Cockerell
Douglas Cockerell was a prominent British bookbinder and teacher, renowned for his influential work in fine binding and book conservation in the early 20th century.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5902a08190ad8694955ef6073a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7ae46dc81908cba9152a6080c3a |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.