Triple
T20468126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Ellis |
E502108
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | George Russell |
—
|
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: George Russell | Statement: [Don Ellis, influencedBy, George Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Russell Context triple: [Don Ellis, influencedBy, George Russell]
-
A.
George Russell
chosen
George Russell was an innovative American jazz composer, theorist, and bandleader best known for developing the influential Lydian Chromatic Concept of Tonal Organization.
-
B.
George Russell
George Russell was an Irish writer, painter, and mystic associated with the Celtic Revival, known for his influential role in Ireland’s literary and cultural renaissance.
-
C.
George Russell
George Russell is a British Formula 1 racing driver known for his strong performances with Williams before joining the Mercedes-AMG Petronas team.
-
D.
George Russell
George Russell was a British aristocrat and member of the prominent Russell family in the 19th century.
-
E.
Lando Norris
Lando Norris is a British Formula 1 driver for McLaren known for his speed, consistency, and charismatic presence on and off the track.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995e71c08190911fadbc433f0f4d |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.