Triple
T10737761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A’ja Riyadh Wilson |
E253238
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Wilson
Wilson is the surname of A’ja Riyadh Wilson, an American professional basketball player and WNBA star.
|
E4321
|
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: Wilson | Statement: [A’ja Riyadh Wilson, familyName, Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilson Context triple: [A’ja Riyadh Wilson, familyName, Wilson]
-
A.
Wilson
Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
-
B.
Wilson
"Wilson" is a 1944 American biographical film about U.S. President Woodrow Wilson, noted for its ambitious production and multiple Academy Awards.
-
C.
Wilson
Wilson is a small city in eastern North Carolina known historically for its tobacco and textile industries and now for its diversified economy and educational institutions.
-
D.
Wilson
Wilson is a city in eastern North Carolina known historically for its tobacco and textile industries and now for its cultural attractions and public gardens.
-
E.
Wilson
Wilson is a well-known American sporting goods manufacturer recognized especially for its basketballs and other professional sports equipment.
- 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: Wilson Triple: [A’ja Riyadh Wilson, familyName, Wilson]
Generated description
Wilson is the surname of A’ja Riyadh Wilson, an American professional basketball player and WNBA star.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilson Target entity description: Wilson is the surname of A’ja Riyadh Wilson, an American professional basketball player and WNBA star.
-
A.
Wilson
Wilson is a well-known American sporting goods manufacturer recognized especially for its basketballs and other professional sports equipment.
-
B.
Wilson
chosen
Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
-
C.
Wilson
Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
-
D.
Wilson
Wilson is a city in eastern North Carolina known historically for its tobacco and textile industries and now for its cultural attractions and public gardens.
-
E.
Wilson
Wilson is a small city in eastern North Carolina known historically for its tobacco and textile industries and now for its diversified economy and educational institutions.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22dce1cc8190a3511d86e8bd6d3e |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.