Triple
T2589869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Paul |
E58094
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lester |
E58985
|
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: Lester | Statement: [Les Paul, givenName, Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lester Context triple: [Les Paul, givenName, Lester]
-
A.
Lester
Lester is the given name of Lester B. Pearson, the Canadian diplomat, Nobel Peace Prize laureate, and 14th prime minister of Canada.
-
B.
Lester
chosen
Lester is a surname of Irish origin borne by various notable individuals, including the diplomat Seán Lester.
-
C.
Lester
Lester is the central character in the 2016 puzzle-platform video game "Mekazoo" (also known as "Makers" in some regions), around whom the game's story and gameplay revolve.
-
D.
Lester Crown
Lester Crown is an American industrialist, investor, and philanthropist, best known as a leading member of Chicago’s influential Crown family and a longtime figure in the aerospace and defense industry.
-
E.
Leslie
Leslie is the middle name of early 20th-century Major League Baseball pitcher Hippo Vaughn, a standout left-hander best known for his time with the Chicago Cubs.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3feb45c81909369a49c3990294a |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af658782f88190a83a4f7256d6a7b2 |
completed | March 10, 2026, 12:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.