Triple
T35707163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shingo Kunieda |
E1031749
|
entity |
| Predicate | GrandSlamDoublesTitles |
P9285
|
FINISHED |
| Object | 22 |
—
|
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: 22 | Statement: [Shingo Kunieda, GrandSlamDoublesTitles, 22]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GrandSlamDoublesTitles Context triple: [Shingo Kunieda, GrandSlamDoublesTitles, 22]
-
A.
grandSlamDoublesTitles
chosen
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
B.
grandSlamFinalsDoubles
Indicates that the entities participated as opponents or partners in the doubles final match of a Grand Slam tennis tournament.
-
C.
grandSlamMixedDoublesTitles
Indicates the number of Grand Slam tennis titles an entity has won in mixed doubles events.
-
D.
mixedDoublesChampions
Indicates that the related entities together won a mixed doubles championship in a given event or competition.
-
E.
GrandSlamSinglesTitles
Indicates that an entity has won one or more Grand Slam singles tennis titles.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.