Triple
T22948249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosewood |
E569933
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | John Williams |
—
|
NE NERFINISHED |
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 Williams | Statement: [Rosewood, musicBy, John Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Williams Context triple: [Rosewood, musicBy, John Williams]
-
A.
John Williams
John Williams was a colonial New England Puritan minister best known for his captivity narrative recounting his abduction during the 1704 Deerfield raid.
-
B.
John Williams
John Williams is a British record producer known for his work with alternative rock and indie bands, including producing the Housemartins' album featuring "Me and the Farmer."
-
C.
John Williams
John Williams is a British film and television producer known for his work on the 1989 football comedy-drama film "London 0 Hull 4."
-
D.
John Williams
John Williams was a British actor known for his character roles in mid-20th-century films and television, including classic courtroom dramas and comedies.
-
E.
John Williams
chosen
John Williams is an acclaimed Australian classical guitarist renowned for his virtuosity, broad repertoire, and influential recordings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.