Triple
T5328556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Dryden |
E123246
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dryden
Dryden is a surname most famously associated with Ken Dryden, the Hall of Fame Canadian ice hockey goaltender and former politician.
|
E515907
|
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: Dryden | Statement: [Ken Dryden, familyName, Dryden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dryden Context triple: [Ken Dryden, familyName, Dryden]
-
A.
Dryden
Dryden is a small village in Tompkins County, New York, known for its rural character and proximity to the city of Ithaca.
-
B.
Dryden
Dryden is a small city in northwestern Ontario, Canada, known historically for its forestry and paper mill industries.
-
C.
John Dryden
John Dryden was a leading 17th-century English poet, playwright, and critic who became the dominant literary figure of the Restoration era and the first official Poet Laureate of England.
-
D.
Mr. Dryden
Mr. Dryden is a British government official in the film "Lawrence of Arabia" who helps orchestrate T.E. Lawrence’s assignment in the Arab Revolt.
-
E.
John Dryden Kuser
John Dryden Kuser was an American politician and socialite from a prominent New Jersey family, known in part for his brief and troubled early marriage to philanthropist Brooke Astor.
- 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: Dryden Triple: [Ken Dryden, familyName, Dryden]
Generated description
Dryden is a surname most famously associated with Ken Dryden, the Hall of Fame Canadian ice hockey goaltender and former politician.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dryden Target entity description: Dryden is a surname most famously associated with Ken Dryden, the Hall of Fame Canadian ice hockey goaltender and former politician.
-
A.
Dryden
Dryden is a small village in Tompkins County, New York, known for its rural character and proximity to the city of Ithaca.
-
B.
Dryden
Dryden is a small city in northwestern Ontario, Canada, known historically for its forestry and paper mill industries.
-
C.
John Dryden
John Dryden was a leading 17th-century English poet, playwright, and critic who became the dominant literary figure of the Restoration era and the first official Poet Laureate of England.
-
D.
Mr. Dryden
Mr. Dryden is a British government official in the film "Lawrence of Arabia" who helps orchestrate T.E. Lawrence’s assignment in the Arab Revolt.
-
E.
John Dryden Kuser
John Dryden Kuser was an American politician and socialite from a prominent New Jersey family, known in part for his brief and troubled early marriage to philanthropist Brooke Astor.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8593bd6c8190b2054e548ddf2458 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf290fc4448190ad9e9c5e880904a8 |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf2b0d51248190966a03f5940760a8 |
completed | March 21, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2b89caa88190b4effe23a67e4efb |
completed | March 21, 2026, 11:36 p.m. |
Created at: March 20, 2026, 2 p.m.