Triple
T25220419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Court |
E631945
|
entity |
| Predicate | grandSlamCareerAchievement |
P109279
|
FINISHED |
| Object | Calendar-year Grand Slam in singles |
—
|
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: Calendar-year Grand Slam in singles | Statement: [Margaret Court, grandSlamCareerAchievement, Calendar-year Grand Slam in singles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandSlamCareerAchievement Context triple: [Margaret Court, grandSlamCareerAchievement, Calendar-year Grand Slam in singles]
-
A.
grandSlam
chosen
Indicates achieving a particularly comprehensive or dominant success, often by winning all major components or events within a defined set.
-
B.
grandSlamSinglesTitles
Indicates the number of Grand Slam singles tennis titles an entity has won.
-
C.
GrandSlamSinglesTitles
Indicates that an entity has won one or more Grand Slam singles tennis titles.
-
D.
achievedCareerGrandSlam
Indicates that an individual has won all major titles or championships required within a particular career-defining series or circuit at least once.
-
E.
grandSlamTournament
Indicates that the event is a Grand Slam–level tournament within a given sport’s major championship series.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47cbe66648190a46a29d187ab2c47 |
completed | May 1, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:03 p.m.