Triple
T17384815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fats Navarro |
E422659
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Lee Morgan |
—
|
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: Lee Morgan | Statement: [Fats Navarro, influenced, Lee Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Morgan Context triple: [Fats Navarro, influenced, Lee Morgan]
-
A.
Lee Morgan
chosen
Lee Morgan was an influential American jazz trumpeter and hard bop bandleader known for his fiery playing and classic albums like "The Sidewinder."
-
B.
Harold Shepherd
Harold Shepherd is a co-founder of the Shepherd Center, a renowned rehabilitation hospital specializing in spinal cord and brain injury care in Atlanta, Georgia.
-
C.
Al C. Ward
Al C. Ward is a television producer best known for serving as executive producer of the medical drama series "Medical Center."
-
D.
Dennis Washington
Dennis Washington is an American industrialist and billionaire known for founding the Washington Companies conglomerate and for his extensive philanthropy, particularly in Montana.
-
E.
Cliff Hayes
Cliff Hayes is a film editor best known for his work on the influential Australian action film "Mad Max."
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a88b32481909b120349e169c670 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.