Triple
T11255091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrian Dantley |
E266416
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dantley
Dantley is a surname most prominently associated with Adrian Dantley, a Hall of Fame American professional basketball player known for his prolific scoring in the NBA.
|
E914554
|
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: Dantley | Statement: [Adrian Dantley, familyName, Dantley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dantley Context triple: [Adrian Dantley, familyName, Dantley]
-
A.
Carrinton
Carrinton is a variant spelling of the English surname and place name Carrington.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Beebe
Beebe is a surname most notably associated with Ford Beebe, an American film director and screenwriter known for his work on serials and B-movies in the early to mid-20th century.
-
D.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
E.
Swope
Swope is a surname of English origin borne by various notable individuals in American history, politics, and science.
- 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: Dantley Triple: [Adrian Dantley, familyName, Dantley]
Generated description
Dantley is a surname most prominently associated with Adrian Dantley, a Hall of Fame American professional basketball player known for his prolific scoring in the NBA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dantley Target entity description: Dantley is a surname most prominently associated with Adrian Dantley, a Hall of Fame American professional basketball player known for his prolific scoring in the NBA.
-
A.
Carrinton
Carrinton is a variant spelling of the English surname and place name Carrington.
-
B.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
-
C.
Beebe
Beebe is a surname most notably associated with Ford Beebe, an American film director and screenwriter known for his work on serials and B-movies in the early to mid-20th century.
-
D.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
E.
Swope
Swope is a surname of English origin borne by various notable individuals in American history, politics, and science.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9346f4c8190b29c2cf3a29cd1d1 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc941d34819099ae30713bdd03e5 |
completed | April 19, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69e4d9ec9964819084bd7118e49c41a2 |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ddab4ef48190ab7f371da765c6c0 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 8, 2026, 9:31 p.m.