Triple
T33761833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Best of Jazz (BBC radio series) |
E865125
|
entity |
| Predicate | hasTrumpeterPresenter |
P199579
|
FINISHED |
| Object | Humphrey Lyttelton |
—
|
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: Humphrey Lyttelton | Statement: [The Best of Jazz (BBC radio series), hasTrumpeterPresenter, Humphrey Lyttelton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrumpeterPresenter Context triple: [The Best of Jazz (BBC radio series), hasTrumpeterPresenter, Humphrey Lyttelton]
-
A.
hasTrumpetSolosBy
Indicates that one entity (such as a musical work or recording) contains trumpet solos performed by another entity (such as a musician).
-
B.
hasPrincipalTrumpet
Indicates that one entity serves as the principal (lead) trumpet player for another entity, such as an orchestra or ensemble.
-
C.
hasPresenterName
Indicates that an entity serving as a presenter is associated with a specific name used to identify them.
-
D.
hasImpresario
Indicates that an entity is associated with, or managed/promoted by, an impresario.
-
E.
hasNotableSpeaker
Indicates that an event, gathering, or occasion features a speaker who is distinguished or noteworthy in some significant way.
- F. None of above. chosen
Provenance (4 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69ff46aefe248190a80d898df6ef1340 |
completed | May 9, 2026, 2:37 p.m. |
Created at: May 1, 2026, 1:45 a.m.