Triple
T10609319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley Matthews |
E275962
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Wes Matthews
Wes Matthews is a former American professional basketball player who played as a guard in the NBA during the 1980s.
|
E275962
|
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: Wes Matthews | Statement: [Wesley Matthews, relative, Wes Matthews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wes Matthews Context triple: [Wesley Matthews, relative, Wes Matthews]
-
A.
Wesley Matthews
Wesley Matthews is an American professional basketball player known for his three-point shooting and perimeter defense in the NBA.
-
B.
Robb Nansel
Robb Nansel is an American musician and co-founder of Saddle Creek Records, best known for his work with the Omaha-based indie rock band Desaparecidos.
-
C.
Derek Collison
Derek Collison is a software engineer and entrepreneur best known as the creator of the NATS messaging system and founder of Synadia Communications.
-
D.
Sean Whalen
Sean Whalen is an American character actor known for his distinctive, often quirky roles in film and television, including horror and cult favorites.
-
E.
Wesley Prince
Wesley Prince was an American jazz bassist best known for his work with the Nat King Cole Trio during the late 1930s and early 1940s.
- 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: Wes Matthews Triple: [Wesley Matthews, relative, Wes Matthews]
Generated description
Wes Matthews is a former American professional basketball player who played as a guard in the NBA during the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wes Matthews Target entity description: Wes Matthews is a former American professional basketball player who played as a guard in the NBA during the 1980s.
-
A.
Wesley Matthews
chosen
Wesley Matthews is an American professional basketball player known for his three-point shooting and perimeter defense in the NBA.
-
B.
Robb Nansel
Robb Nansel is an American musician and co-founder of Saddle Creek Records, best known for his work with the Omaha-based indie rock band Desaparecidos.
-
C.
Derek Collison
Derek Collison is a software engineer and entrepreneur best known as the creator of the NATS messaging system and founder of Synadia Communications.
-
D.
Sean Whalen
Sean Whalen is an American character actor known for his distinctive, often quirky roles in film and television, including horror and cult favorites.
-
E.
Wesley Prince
Wesley Prince was an American jazz bassist best known for his work with the Nat King Cole Trio during the late 1930s and early 1940s.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4d0a6881909fea20378085173d |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a2c8a048190b9a62f1c68ac217a |
completed | April 10, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d97cc07100819088683a0d79b2baa0 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e015b088190a97822675eecaa5a |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 7:32 p.m.