Triple
T15453120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Harrison |
E371699
|
entity |
| Predicate | careerHighATPdoublesRankingDate |
P73146
|
FINISHED |
| Object | 2017-09-11 |
—
|
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: 2017-09-11 | Statement: [Ryan Harrison, careerHighATPdoublesRankingDate, 2017-09-11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerHighATPdoublesRankingDate Context triple: [Ryan Harrison, careerHighATPdoublesRankingDate, 2017-09-11]
-
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.
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.
dateOfHighestSinglesRanking
Indicates the specific date on which an entity achieved its highest-ever singles ranking.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f131b1481909ff099c3b844ee07 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:30 a.m.