Triple
T10033802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Blake |
E204913
|
entity |
| Predicate | careerHighATPsinglesRankingDate |
P50352
|
FINISHED |
| Object | 2006-11-20 |
—
|
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: 2006-11-20 | Statement: [James Blake, careerHighATPsinglesRankingDate, 2006-11-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerHighATPsinglesRankingDate Context triple: [James Blake, careerHighATPsinglesRankingDate, 2006-11-20]
-
A.
dateOfHighestSinglesRanking
chosen
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.
ATPsinglesTitles
Indicates the number of ATP-level singles titles a tennis player has won in professional tournaments.
-
D.
ATPMasters1000TitlesYear
Indicates the number of ATP Masters 1000 tournament titles a player wins in a specific calendar year.
-
E.
dateOfCareerHighDoublesRanking
Indicates the specific date on which an entity achieved its highest-ever doubles ranking in its career.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce490ff08190963d841b05d150a7 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.