Triple
T3110159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Victory |
E64930
|
entity |
| Predicate | notableCommander |
P1197
|
FINISHED |
| Object | John Jervis |
E298820
|
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: John Jervis | Statement: [HMS Victory, notableCommander, John Jervis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Jervis Context triple: [HMS Victory, notableCommander, John Jervis]
-
A.
John Jervis
chosen
John Jervis was a prominent 18th-century British admiral who became Earl of St Vincent and was renowned for his decisive naval victories during the French Revolutionary Wars.
-
B.
Geoffrey Jellicoe
Geoffrey Jellicoe was a prominent British landscape architect and garden designer known for his influential 20th-century public and private landscape projects.
-
C.
John Blatchley
John Blatchley was a British theatre director and educator best known as a co-founder of the influential Drama Centre London acting school.
-
D.
Sir John Woodcock
Sir John Woodcock was a prominent British police officer who served as Chief Constable of several forces and later as Her Majesty’s Chief Inspector of Constabulary.
-
E.
Pembroke J. Herring
Pembroke J. Herring was an American film editor known for his work on numerous major Hollywood comedies and dramas from the 1960s through the 1990s.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada437c5e08190af22f6fa11cf9252 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b203902a6881909b20589fad629640 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:04 p.m.