Triple
T2248682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Bylsma |
E49564
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Disco Dan
Disco Dan is the nickname of Dan Bylsma, a Stanley Cup–winning former NHL head coach best known for his tenure with the Pittsburgh Penguins.
|
E248108
|
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: Disco Dan | Statement: [Dan Bylsma, nickname, Disco Dan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disco Dan Context triple: [Dan Bylsma, nickname, Disco Dan]
-
A.
Handsome Dan
Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
-
B.
Mr. DJ
Mr. DJ is a hip-hop music producer best known for his work with OutKast and on tracks like "Universal Mind Control."
-
C.
Dandy Dan
Dandy Dan is the sharply dressed, ruthless mob boss antagonist in the 1976 musical gangster film "Bugsy Malone."
-
D.
Elvin
Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
-
E.
Daddy King
Daddy King was the influential Baptist minister and civil rights leader who was the father of Martin Luther King Jr.
- 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: Disco Dan Triple: [Dan Bylsma, nickname, Disco Dan]
Generated description
Disco Dan is the nickname of Dan Bylsma, a Stanley Cup–winning former NHL head coach best known for his tenure with the Pittsburgh Penguins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Disco Dan Target entity description: Disco Dan is the nickname of Dan Bylsma, a Stanley Cup–winning former NHL head coach best known for his tenure with the Pittsburgh Penguins.
-
A.
Handsome Dan
Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
-
B.
Mr. DJ
Mr. DJ is a hip-hop music producer best known for his work with OutKast and on tracks like "Universal Mind Control."
-
C.
Dandy Dan
Dandy Dan is the sharply dressed, ruthless mob boss antagonist in the 1976 musical gangster film "Bugsy Malone."
-
D.
Elvin
Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
-
E.
Daddy King
Daddy King was the influential Baptist minister and civil rights leader who was the father of Martin Luther King Jr.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ef74988190a0af51d983cf5658 |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b1719c481909ec3ff03d2a6f3bd |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6bcfd2c481908f69df77f40655e2 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c4d9c04819086e3091bbbf16099 |
completed | March 9, 2026, 6:44 a.m. |
Created at: March 4, 2026, 7:47 p.m.