Triple
T21322050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lester Matthews |
E525641
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lester
Lester is a masculine given name of English origin, traditionally used in English-speaking countries.
|
E997282
|
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: [Lester Matthews, givenName, Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lester Context triple: [Lester Matthews, givenName, Lester]
-
A.
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.
-
B.
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.
-
C.
Lester
Lester is a small town located in Raleigh County in the southern part of West Virginia, United States.
-
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
Lester is a surname of Irish origin borne by various notable individuals, including the diplomat Seán Lester.
- 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: [Lester Matthews, givenName, Lester]
Generated description
Lester is a masculine given name of English origin, traditionally used in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lester Target entity description: Lester is a masculine given name of English origin, traditionally used in English-speaking countries.
-
A.
Lester
chosen
Lester is a masculine given name of English origin, famously borne by guitarist and inventor Lester William Polsfuss, better known as Les Paul.
-
B.
Lester
Lester is the given name of Lester B. Pearson, the Canadian diplomat, Nobel Peace Prize laureate, and 14th prime minister of Canada.
-
C.
Lester
Lester is a surname of Irish origin borne by various notable individuals, including the diplomat Seán Lester.
-
D.
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.
-
E.
Lester
Lester is a small town located in Raleigh County in the southern part of West Virginia, United States.
- F. None of above.
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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ed2640c8190a81b087e2c49c500 |
completed | April 21, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099ee48a0881909edd40cde83d10c5 |
completed | May 17, 2026, 10:56 a.m. |
| NEDg | Description generation | batch_6a099fa8142c819090f4521e39157cf0 |
completed | May 17, 2026, 10:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09a0b6374c8190bfea2d9a3c02a69b |
completed | May 17, 2026, 11:04 a.m. |
Created at: April 16, 2026, 4:40 p.m.