Triple
T11238891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Blake |
E266017
|
entity |
| Predicate | dateOfHighestDoublesRanking |
P73146
|
FINISHED |
| Object | 2003-03-31 |
—
|
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: 2003-03-31 | Statement: [James Blake, dateOfHighestDoublesRanking, 2003-03-31]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfHighestDoublesRanking Context triple: [James Blake, dateOfHighestDoublesRanking, 2003-03-31]
-
A.
dateOfCareerHighDoublesRanking
chosen
Indicates the specific date on which an entity achieved its highest-ever doubles ranking in its career.
-
B.
careerHighDoublesRanking
Indicates the highest doubles ranking a person has achieved in their professional career.
-
C.
dateOfHighestSinglesRanking
Indicates the specific date on which an entity achieved its highest-ever singles ranking.
-
D.
highestSinglesRanking
Indicates the relationship where a specific singles ranking represents the best (numerically highest) singles position an entity has ever achieved.
-
E.
grandSlamDoublesTitles
Indicates the number of Grand Slam tennis doubles titles an entity has won.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e918375081908c2a7ccb50cbf331 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:30 p.m.