Triple
T13018381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Lester |
E322611
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jerry Lester |
E322611
|
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: Jerry Lester | Statement: [Jerry Lester, name, Jerry Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Lester Context triple: [Jerry Lester, name, Jerry Lester]
-
A.
Jerry Lester
chosen
Jerry Lester was an American comedian and television personality best known as an early late-night TV pioneer in the 1950s.
-
B.
Lester Melroe
Lester Melroe was an American inventor and entrepreneur best known for developing the compact skid-steer loader that led to the creation of the Bobcat brand.
-
C.
Lester Burdon
Lester Burdon is a conflicted police officer whose personal and moral struggles drive much of the tension and tragedy in the novel and film "House of Sand and Fog."
-
D.
Mel Lewis
Mel Lewis was an influential American jazz drummer and bandleader best known for co-leading the Thad Jones/Mel Lewis Orchestra, a cornerstone of modern big band jazz.
-
E.
Bruce Lester
Bruce Lester was a British actor known for his supporting roles in classic Hollywood films of the 1930s and 1940s.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff02c1448190b0b41beb427fae23 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 9, 2026, 8:51 p.m.