Triple
T20474570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester Young |
E502276
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Pres |
—
|
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: Pres | Statement: [Lester Young, alsoKnownAs, Pres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pres Context triple: [Lester Young, alsoKnownAs, Pres]
-
A.
Pres
chosen
Pres was the nickname of Lester Young, the influential American jazz tenor saxophonist known for his cool tone and innovative, lyrical improvisational style.
-
B.
Prem
Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
-
C.
Prem
Prem is a small rural municipality in the district of Weilheim-Schongau in Bavaria, Germany.
-
D.
Pre
Pre is the famous nickname of Steve Prefontaine, the iconic American middle- and long-distance runner known for his aggressive racing style and role in popularizing running in the 1970s.
-
E.
Ps
Ps is the standard abbreviation for Adobe Photoshop, a widely used professional image editing and graphic design software application.
- 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_69e699639eec81908f8bd24877b2b876 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.