Triple
T1132198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DaMarcus Beasley |
E23056
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Beasley
Beasley is a surname most prominently associated with DaMarcus Beasley, a former United States international soccer player known for his World Cup appearances and club career in MLS and Europe.
|
E130428
|
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: Beasley | Statement: [DaMarcus Beasley, familyName, Beasley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beasley Context triple: [DaMarcus Beasley, familyName, Beasley]
-
A.
Beal
Beal is a surname most prominently associated with NBA All-Star shooting guard Bradley Beal.
-
B.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
C.
Bex
Bex is a common shortened form of the given name Rebecca, often used as a casual or affectionate nickname.
-
D.
Benson
Benson is a small town located in Johnston County, North Carolina, known for its rural character and community events.
-
E.
Baines
Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
- 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: Beasley Triple: [DaMarcus Beasley, familyName, Beasley]
Generated description
Beasley is a surname most prominently associated with DaMarcus Beasley, a former United States international soccer player known for his World Cup appearances and club career in MLS and Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beasley Target entity description: Beasley is a surname most prominently associated with DaMarcus Beasley, a former United States international soccer player known for his World Cup appearances and club career in MLS and Europe.
-
A.
Beal
Beal is a surname most prominently associated with NBA All-Star shooting guard Bradley Beal.
-
B.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
C.
Bex
Bex is a common shortened form of the given name Rebecca, often used as a casual or affectionate nickname.
-
D.
Benson
Benson is a small town located in Johnston County, North Carolina, known for its rural character and community events.
-
E.
Baines
Baines is the middle name of Lyndon B. Johnson, the 36th president of the United States.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bbfcdf848190a2917d796ca84b74 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59aa261881908c7ceedf710ee9c8 |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5b0edea081909cc734a11aaf452e |
completed | March 7, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5b78810c8190aa1ca58a577b53bf |
completed | March 7, 2026, 5:08 p.m. |
Created at: March 1, 2026, 7:44 p.m.