Triple
T11667277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smiley Burnette |
E277281
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lester
Lester is the given first name of American actor, musician, and comedian Smiley Burnette, known for his roles in Western films and as Gene Autry’s sidekick.
|
E939362
|
NE FINISHED |
How this triple was built (4 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: [Smiley Burnette, givenName, Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lester Context triple: [Smiley Burnette, givenName, Lester]
-
A.
Lester
Lester is a small town located in Raleigh County in the southern part of West Virginia, United States.
-
B.
Lester
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
Lester is the given name of Lester B. Pearson, the Canadian diplomat, Nobel Peace Prize laureate, and 14th prime minister of Canada.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lester Triple: [Smiley Burnette, givenName, Lester]
Generated description
Lester is the given first name of American actor, musician, and comedian Smiley Burnette, known for his roles in Western films and as Gene Autry’s sidekick.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lester Target entity description: Lester is the given first name of American actor, musician, and comedian Smiley Burnette, known for his roles in Western films and as Gene Autry’s sidekick.
-
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
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
Lester is a small town located in Raleigh County in the southern part of West Virginia, United States.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13b36ae4819096e6dfca23a69250 |
completed | April 27, 2026, 7:43 a.m. |
| NEDg | Description generation | batch_69ef3550fae881909246cd4cca047a19 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef519f95488190b4b5a167aa930133 |
completed | April 27, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:39 p.m.