Triple
T1490995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makers |
E29577
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
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.
|
E174456
|
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: [Makers, hasMainCharacter, Lester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lester Context triple: [Makers, hasMainCharacter, 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
Lester is a surname of Irish origin borne by various notable individuals, including the diplomat Seán Lester.
-
C.
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.
-
D.
Leslie
Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
-
E.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
- 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: [Makers, hasMainCharacter, Lester]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lester Target entity description: 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.
-
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 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.
-
D.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
-
E.
Leslie
Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c3ace4819081bc2b86ee2486b6 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2943545c8190a2246a41d712528b |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad29dc9fd08190b67527f0662c92dc |
completed | March 8, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a4d71a88190b67ed21beebbb479 |
completed | March 8, 2026, 7:50 a.m. |
Created at: March 1, 2026, 8:12 p.m.