Triple
T13781412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calendar Grand Slam |
E331138
|
entity |
| Predicate | firstWomenSinglesYear |
P13907
|
FINISHED |
| Object | 1953 |
—
|
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: 1953 | Statement: [Calendar Grand Slam, firstWomenSinglesYear, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWomenSinglesYear Context triple: [Calendar Grand Slam, firstWomenSinglesYear, 1953]
-
A.
WTAdebutYear
Indicates the year in which a player first competed in a Women’s Tennis Association (WTA) event at the professional level.
-
B.
ladiesSinglesChampion
Indicates that one entity is the winner of the women's singles competition in a given event or tournament.
-
C.
hasNotableFirstFemaleWinnerYear
chosen
Indicates the year in which the first notable female winner associated with an entity achieved her win.
-
D.
firstFemaleHolderDate
Indicates the date on which the first female individual came to hold a given position, title, or role.
-
E.
WTAPlayerOfTheYearAward
Indicates that an entity has received the WTA Player of the Year award in a given year.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe98b5bc8190967907ec64d0317d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:11 p.m.