Triple
T24021010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wentworth Club |
E594820
|
entity |
| Predicate | WestCourseDesigner |
P128695
|
FINISHED |
| Object | Harry Colt |
—
|
NE NERFINISHED |
How this triple was built (2 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: Harry Colt | Statement: [Wentworth Club, WestCourseDesigner, Harry Colt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WestCourseDesigner Context triple: [Wentworth Club, WestCourseDesigner, Harry Colt]
-
A.
trackDesigner
Indicates that one entity is the designer or creator responsible for the layout or structure of a track associated with another entity.
-
B.
designedGolfCourses
chosen
Indicates that one entity is the architect or creator responsible for designing the layout and features of one or more golf courses associated with another entity.
-
C.
courseDesigner
Indicates that one entity is responsible for creating, planning, or structuring the content and format of a course for another entity.
-
D.
landscapeDesignedBy
Indicates that a particular landscape or outdoor environment was planned, created, or shaped by a specific designer or design entity.
-
E.
golfCourseSetting
Indicates that an entity is set in, located at, or contextually associated with a golf course.
- F. None of above.
Provenance (3 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5aaf8588190b266557d573504b8 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:43 p.m.