Triple
T23374987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Kong |
E593583
|
entity |
| Predicate | careerStartLocation |
P142114
|
FINISHED |
| Object | Beverley’s ice-cream parlour in Kingston |
—
|
LITERAL FINISHED |
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: Beverley’s ice-cream parlour in Kingston | Statement: [Leslie Kong, careerStartLocation, Beverley’s ice-cream parlour in Kingston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerStartLocation Context triple: [Leslie Kong, careerStartLocation, Beverley’s ice-cream parlour in Kingston]
-
A.
professionStartLocation
chosen
Indicates the place where an individual begins or first takes up their profession or career.
-
B.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
C.
careerStartAs
Indicates the role, position, or occupation in which an individual first began their professional career.
-
D.
studCareerBegan
Indicates that a student's professional or academic career started at a specified time or institution.
-
E.
studCareerLocation
Indicates the place where a student's academic or professional career activities occur or are based.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b1d24881909945936cbf00876e |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:33 p.m.