Triple
T1391122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Jose Sharks |
E29959
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object |
Ryan Warsofsky
Ryan Warsofsky is an American professional ice hockey coach who serves as the head coach of the NHL’s San Jose Sharks.
|
E238096
|
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 Warsofsky | Statement: [San Jose Sharks, headCoach, Ryan Warsofsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Warsofsky Context triple: [San Jose Sharks, headCoach, Ryan Warsofsky]
-
A.
Joel Stransky
Joel Stransky is a former South African rugby union fly-half best known for kicking the winning drop goal in the 1995 Rugby World Cup final.
-
B.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
C.
Joe Lorkowski
Joe Lorkowski is a character in the film "Sunshine Cleaning," portrayed as the young son of the protagonist, Rose Lorkowski.
-
D.
David Winkler
David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
-
E.
Mischa Spoliansky
Mischa Spoliansky was a Russian-born British composer best known for his film scores and cabaret music in early- to mid-20th-century Europe.
- 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 Warsofsky Triple: [San Jose Sharks, headCoach, Ryan Warsofsky]
Generated description
Ryan Warsofsky is an American professional ice hockey coach who serves as the head coach of the NHL’s San Jose Sharks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Warsofsky Target entity description: Ryan Warsofsky is an American professional ice hockey coach who serves as the head coach of the NHL’s San Jose Sharks.
-
A.
Joel Stransky
Joel Stransky is a former South African rugby union fly-half best known for kicking the winning drop goal in the 1995 Rugby World Cup final.
-
B.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
-
C.
Joe Lorkowski
Joe Lorkowski is a character in the film "Sunshine Cleaning," portrayed as the young son of the protagonist, Rose Lorkowski.
-
D.
David Winkler
David Winkler is an American film producer known for his work on major Hollywood movies, including entries in the Rocky/Creed franchise.
-
E.
Mischa Spoliansky
Mischa Spoliansky was a Russian-born British composer best known for his film scores and cabaret music in early- to mid-20th-century Europe.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c35f7ab081909fe81dd475d6196f |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae515ce1b0819089603a3e0f6b1933 |
completed | March 9, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_69ae553d38f4819081d00f6c6451f7ed |
completed | March 9, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae55875b5081909cfe62b222d229f6 |
completed | March 9, 2026, 5:07 a.m. |
Created at: March 1, 2026, 7:59 p.m.