Triple
T4226261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemson University |
E94464
|
entity |
| Predicate | hasNotableAlumni |
P51
|
FINISHED |
| Object |
Brian Dawkins
Brian Dawkins is a Hall of Fame former NFL safety best known for his long, hard-hitting career with the Philadelphia Eagles.
|
E423615
|
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: Brian Dawkins | Statement: [Clemson University, hasNotableAlumni, Brian Dawkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Dawkins Context triple: [Clemson University, hasNotableAlumni, Brian Dawkins]
-
A.
Darrell Green
Darrell Green is a Hall of Fame NFL cornerback renowned for his exceptional speed and longevity during a 20-year career with Washington’s football franchise.
-
B.
Reggie White
Reggie White was a dominant Hall of Fame defensive end, widely regarded as one of the greatest defensive players in NFL history.
-
C.
Howie Long
Howie Long is a former NFL Hall of Fame defensive end who became a prominent football analyst and television personality.
-
D.
Lawrence Taylor
Lawrence Taylor is a legendary former NFL linebacker widely regarded as one of the greatest defensive players in football history.
-
E.
Brian Westbrook
Brian Westbrook is a former NFL running back best known for his dynamic playmaking and versatility with the Philadelphia Eagles in the 2000s.
- 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: Brian Dawkins Triple: [Clemson University, hasNotableAlumni, Brian Dawkins]
Generated description
Brian Dawkins is a Hall of Fame former NFL safety best known for his long, hard-hitting career with the Philadelphia Eagles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Dawkins Target entity description: Brian Dawkins is a Hall of Fame former NFL safety best known for his long, hard-hitting career with the Philadelphia Eagles.
-
A.
Darrell Green
Darrell Green is a Hall of Fame NFL cornerback renowned for his exceptional speed and longevity during a 20-year career with Washington’s football franchise.
-
B.
Reggie White
Reggie White was a dominant Hall of Fame defensive end, widely regarded as one of the greatest defensive players in NFL history.
-
C.
Howie Long
Howie Long is a former NFL Hall of Fame defensive end who became a prominent football analyst and television personality.
-
D.
Lawrence Taylor
Lawrence Taylor is a legendary former NFL linebacker widely regarded as one of the greatest defensive players in football history.
-
E.
Brian Westbrook
Brian Westbrook is a former NFL running back best known for his dynamic playmaking and versatility with the Philadelphia Eagles in the 2000s.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e4ed34c819081d1479ce87cd78c |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a85c79a881908cadc892dc30d8ef |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a9332eec8190bcc1063633f21d85 |
completed | March 14, 2026, 6:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a99a4a9c8190a7e9bbc119d8d775 |
completed | March 14, 2026, 6:31 p.m. |
Created at: March 12, 2026, 11:04 p.m.