Triple
T15507590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Du Prez |
E379122
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Du Prez |
E379122
|
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 Du Prez | Statement: [John Du Prez, name, John Du Prez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Du Prez Context triple: [John Du Prez, name, John Du Prez]
-
A.
John Du Prez
chosen
John Du Prez is a British composer and musician best known for his film scores and long-running collaboration with the comedy group Monty Python.
-
B.
Keith Follesé
Keith Follesé is an American country music songwriter known for penning numerous hits for major Nashville artists.
-
C.
Greg de Vries
Greg de Vries is a retired Canadian professional ice hockey defenceman who played over 800 NHL games and won the Stanley Cup with the Colorado Avalanche in 2001.
-
D.
Dion Neutra
Dion Neutra was an American architect and preservationist known for continuing and promoting the modernist architectural legacy of his father, Richard Neutra.
-
E.
Paul Intson
Paul Intson is a composer best known for creating the musical score for the animated film "The Nut Job."
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcea8888190a7b69aca360183c3 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff366e472c819093472da2a49593c6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:55 a.m.