Triple
T11894392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Knott |
E282998
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ralph Knott |
E282998
|
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: Ralph Knott | Statement: [Ralph Knott, name, Ralph Knott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Knott Context triple: [Ralph Knott, name, Ralph Knott]
-
A.
Ralph Knott
chosen
Ralph Knott was a British architect best known for designing London's landmark County Hall building on the South Bank of the River Thames.
-
B.
Noel Kingsbury
Noel Kingsbury is a British garden designer, writer, and researcher known for his influential work on naturalistic planting design and contemporary perennial gardening.
-
C.
John Bunn
John Bunn was an American basketball coach and administrator known for his influential roles in college basketball and contributions to the sport’s development.
-
D.
George Weaver
George Weaver is a member of the musical group Sea Level, an American band known for its blend of Southern rock, jazz, and blues.
-
E.
Kenneth Buttrey
Kenneth Buttrey was an American session drummer best known for his work on landmark recordings by artists such as Bob Dylan and Neil Young.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1172988190a2c13d37220f2f93 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4180569ac81909137d56374e800c0 |
completed | May 1, 2026, 3:03 a.m. |
Created at: April 8, 2026, 9:44 p.m.