Triple
T6766650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberta Vinci |
E154735
|
entity |
| Predicate | grandSlamDoublesTitle |
P9285
|
FINISHED |
| Object | Australian Open women’s doubles 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: Australian Open women’s doubles champion | Statement: [Roberta Vinci, grandSlamDoublesTitle, Australian Open women’s doubles champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandSlamDoublesTitle Context triple: [Roberta Vinci, grandSlamDoublesTitle, Australian Open women’s doubles champion]
-
A.
grandSlamDoublesTitles
chosen
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
B.
grandSlamMixedDoublesTitles
Indicates the number of Grand Slam tennis titles an entity has won in mixed doubles events.
-
C.
grandSlamSinglesTitles
Indicates the number of Grand Slam singles tennis titles an entity has won.
-
D.
grandSlamTeam
Indicates that a team has achieved a grand slam, typically by winning all major qualifying titles or championships within a defined period or competition.
-
E.
GrandSlams
Indicates that an entity has won or is associated with victories in major Grand Slam tournaments within a given sport.
- 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_69c688109c1c8190added9a221292af0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2303c6881909405f0d6089dbe12 |
completed | March 27, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:12 p.m.