Triple
T36518115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Nadal |
E900102
|
entity |
| Predicate | careerGrandSlam |
P107536
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Rafael Nadal, careerGrandSlam, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerGrandSlam Context triple: [Rafael Nadal, careerGrandSlam, yes]
-
A.
achievedCareerGrandSlam
chosen
Indicates that an individual has won all major titles or championships required within a particular career-defining series or circuit at least once.
-
B.
oneOfFirstToAchieveCareerGrandSlam
Indicates that the subject is among the earliest individuals to complete a career Grand Slam in their field (winning all major titles or championships at least once).
-
C.
numberOfCareerGrandSlams
Indicates the count of distinct career Grand Slam achievements associated with an entity.
-
D.
grandSlam
Indicates achieving a particularly comprehensive or dominant success, often by winning all major components or events within a defined set.
-
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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.