Triple
T6766645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberta Vinci |
E154735
|
entity |
| Predicate | dateOfCareerHighDoublesRanking |
P73146
|
FINISHED |
| Object | 2012-10-15 |
—
|
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: 2012-10-15 | Statement: [Roberta Vinci, dateOfCareerHighDoublesRanking, 2012-10-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfCareerHighDoublesRanking Context triple: [Roberta Vinci, dateOfCareerHighDoublesRanking, 2012-10-15]
-
A.
dateOfHighestSinglesRanking
Indicates the specific date on which an entity achieved its highest-ever singles ranking.
-
B.
highestSinglesRanking
Indicates the relationship where a specific singles ranking represents the best (numerically highest) singles position an entity has ever achieved.
-
C.
grandSlamDoublesTitles
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
D.
tourDoublesTitles
Indicates the number of doubles titles a player has won on the professional tennis tour.
-
E.
hasDoublesPartner
Indicates that one entity serves as the doubles partner of another in a paired or team-based activity or sport.
- 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_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. |
| PDg | Predicate description generation | batch_69c6d1d5f1908190989efc8a2d18c965 |
completed | March 27, 2026, 6:52 p.m. |
Created at: March 27, 2026, 2:12 p.m.