Triple
T13353539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint John Sea Dogs |
E318128
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object |
Ryan Tesink
Ryan Tesink is a Canadian professional ice hockey forward known for his junior career in the QMJHL and being drafted by the St. Louis Blues in the NHL.
|
E1035846
|
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: Ryan Tesink | Statement: [Saint John Sea Dogs, notableAlumni, Ryan Tesink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Tesink Context triple: [Saint John Sea Dogs, notableAlumni, Ryan Tesink]
-
A.
Ryan ten Doeschate
Ryan ten Doeschate is a former Dutch all-rounder renowned for his prolific limited-overs batting and key role in county cricket, particularly in England.
-
B.
Bryan Helmig
Bryan Helmig is a technology entrepreneur best known as a co-founder of the workflow automation platform Zapier.
-
C.
Ryan Dusick
Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
-
D.
Jeffrey Endervelt
Jeffrey Endervelt is best known as the former husband of American actress and singer Polly Bergen.
-
E.
J.J. Voskuil
J.J. Voskuil was a Dutch writer best known for his monumental, autobiographical novel cycle "Het Bureau," which offers a detailed, ironic portrayal of life inside a government research institute.
- 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: Ryan Tesink Triple: [Saint John Sea Dogs, notableAlumni, Ryan Tesink]
Generated description
Ryan Tesink is a Canadian professional ice hockey forward known for his junior career in the QMJHL and being drafted by the St. Louis Blues in the NHL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Tesink Target entity description: Ryan Tesink is a Canadian professional ice hockey forward known for his junior career in the QMJHL and being drafted by the St. Louis Blues in the NHL.
-
A.
Ryan ten Doeschate
Ryan ten Doeschate is a former Dutch all-rounder renowned for his prolific limited-overs batting and key role in county cricket, particularly in England.
-
B.
Bryan Helmig
Bryan Helmig is a technology entrepreneur best known as a co-founder of the workflow automation platform Zapier.
-
C.
Ryan Dusick
Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
-
D.
Jeffrey Endervelt
Jeffrey Endervelt is best known as the former husband of American actress and singer Polly Bergen.
-
E.
J.J. Voskuil
J.J. Voskuil was a Dutch writer best known for his monumental, autobiographical novel cycle "Het Bureau," which offers a detailed, ironic portrayal of life inside a government research institute.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f49e5548190b14d09daea628e6b |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f721b1a5d88190b9075437c7ab81a5 |
completed | May 3, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72262ede4819095b3dc4c7cd63450 |
completed | May 3, 2026, 10:24 a.m. |
Created at: April 9, 2026, 9:32 p.m.