Triple
T13646083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessop |
E326104
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Bob Jessop |
E809553
|
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: Bob Jessop | Statement: [Jessop, hasNotableBearer, Bob Jessop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Jessop Context triple: [Jessop, hasNotableBearer, Bob Jessop]
-
A.
Bob Jessop
chosen
Bob Jessop is a British Marxist state theorist and sociologist known for his strategic-relational approach to the state and influential work on political economy and governance.
-
B.
Graham Jessop
Graham Jessop is a British marine archaeologist and shipwreck hunter known for his work on deep-sea salvage and underwater exploration projects.
-
C.
Roger Lupton
Roger Lupton was a 16th-century English clergyman and educational benefactor best known for his role in establishing Sedbergh School.
-
D.
Glyn Jessop
Glyn Jessop is a former English cricketer who played at the first-class level.
-
E.
Peter Jessop
Peter Jessop is an American actor and voice actor best known for his work in video games, animation, and television.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c20e45c8190968a5d88a2b3fe37 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 9, 2026, 9:51 p.m.