Triple
T32934474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddy Choong |
E842488
|
entity |
| Predicate | allEnglandMensSinglesTitles |
P175415
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Eddy Choong, allEnglandMensSinglesTitles, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allEnglandMensSinglesTitles Context triple: [Eddy Choong, allEnglandMensSinglesTitles, 4]
-
A.
wimbledonSinglesTitles
Indicates the number of Wimbledon singles championship titles an entity has won.
-
B.
AllEnglandOpenTitle
chosen
Indicates that an entity has won the All England Open badminton championship title.
-
C.
firstMenSinglesAchiever
Indicates that the subject is the first male individual to achieve a particular singles title or milestone.
-
D.
ATPsinglesTitles
Indicates the number of ATP-level singles titles a tennis player has won in professional tournaments.
-
E.
WimbledonSinglesFinals
Indicates that the entities are participants in the singles final match of the Wimbledon tennis tournament.
- 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_69f34948adfc8190a937f1f622783c0b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:20 a.m.