Triple
T6313444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newport Country Club |
E141558
|
entity |
| Predicate | courseRedesigner |
P26143
|
FINISHED |
| Object |
Ron Forse
Ron Forse is a noted American golf course architect and restoration specialist recognized for his work on classic courses such as Newport Country Club.
|
E594393
|
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: Ron Forse | Statement: [Newport Country Club, courseRedesigner, Ron Forse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Forse Context triple: [Newport Country Club, courseRedesigner, Ron Forse]
-
A.
Jeff Pehrson
Jeff Pehrson is an American singer-songwriter and harmony vocalist best known for his work with post-Grateful Dead band Furthur and the folk-rock duo Box Set.
-
B.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
C.
Don Brautigam
Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
-
D.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
E.
Rob Fergus
Rob Fergus is a computer scientist and researcher in machine learning and computer vision, known for his influential work in deep learning and academic leadership in AI.
- 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: Ron Forse Triple: [Newport Country Club, courseRedesigner, Ron Forse]
Generated description
Ron Forse is a noted American golf course architect and restoration specialist recognized for his work on classic courses such as Newport Country Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ron Forse Target entity description: Ron Forse is a noted American golf course architect and restoration specialist recognized for his work on classic courses such as Newport Country Club.
-
A.
Jeff Pehrson
Jeff Pehrson is an American singer-songwriter and harmony vocalist best known for his work with post-Grateful Dead band Furthur and the folk-rock duo Box Set.
-
B.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
-
C.
Don Brautigam
Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
-
D.
Jeff Gourson
Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
-
E.
Rob Fergus
Rob Fergus is a computer scientist and researcher in machine learning and computer vision, known for his influential work in deep learning and academic leadership in AI.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06741fbbc81908d947182b197bf59 |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64ba5b0bc8190aefa07c77c99be83 |
completed | March 27, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69c64f37cfa88190a1b896d1893a28d4 |
completed | March 27, 2026, 9:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64fa0196c8190aa4c7241acf0c0b6 |
completed | March 27, 2026, 9:36 a.m. |
Created at: March 22, 2026, 4:28 p.m.