Triple
T2501627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharp |
E52476
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Cecil Sharp |
E234857
|
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: Cecil Sharp | Statement: [Sharp, hasNotableBearer, Cecil Sharp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cecil Sharp Context triple: [Sharp, hasNotableBearer, Cecil Sharp]
-
A.
Cecil Sharp
chosen
Cecil Sharp was an influential English folk song and dance collector and musicologist who played a key role in the early 20th-century folk revival in England.
-
B.
Herbert Howells
Herbert Howells was a 20th-century English composer and organist renowned for his choral and sacred music, particularly within the Anglican tradition.
-
C.
Cecil Hart
Cecil Hart was a prominent early 20th-century Canadian ice hockey coach and manager, best known for his successful tenure with the Montreal Canadiens in the NHL.
-
D.
Godfrey Hewitt
Godfrey Hewitt was a prominent British evolutionary geneticist known for his influential work on speciation, hybrid zones, and the genetic consequences of glaciation in animals.
-
E.
John Peverall
John Peverall was a British film producer best known for his work on the acclaimed war drama "The Deer Hunter."
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1c9f80c8190b40ada396e184e75 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa34dc8819085681d673e45d841 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.