Triple
T32934417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Chong Wei |
E842487
|
entity |
| Predicate | AllEnglandOpenTitle |
P175415
|
FINISHED |
| Object | 2010 men's singles champion |
—
|
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: 2010 men's singles champion | Statement: [Lee Chong Wei, AllEnglandOpenTitle, 2010 men's singles champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AllEnglandOpenTitle Context triple: [Lee Chong Wei, AllEnglandOpenTitle, 2010 men's singles champion]
-
A.
OpenChampionshipWin
Indicates that an entity has achieved victory in an edition of the Open Championship (often known as The Open or British Open).
-
B.
wonWimbledonSingles
Indicates that an entity has won the Wimbledon tennis tournament in the singles category.
-
C.
consecutiveWimbledonSinglesTitles
Indicates that one entity has won Wimbledon singles titles in consecutive years.
-
D.
wimbledonSinglesTitles
Indicates the number of Wimbledon singles championship titles an entity has won.
-
E.
australianOpenSinglesTitles
Indicates the number of Australian Open singles titles one entity has won.
- F. None of above. chosen
Provenance (4 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:20 a.m.