Triple
T25560210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Championships 1962 |
E640692
|
entity |
| Predicate | winnerWomenSingles |
P81988
|
FINISHED |
| Object | Margaret Smith |
—
|
NE NERFINISHED |
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: Margaret Smith | Statement: [Australian Championships 1962, winnerWomenSingles, Margaret Smith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerWomenSingles Context triple: [Australian Championships 1962, winnerWomenSingles, Margaret Smith]
-
A.
ladiesSinglesChampion
chosen
Indicates that one entity is the winner of the women's singles competition in a given event or tournament.
-
B.
WTAPlayerOfTheYearAward
Indicates that an entity has received the WTA Player of the Year award in a given year.
-
C.
firstWomenSinglesAchiever
Indicates that the subject is the first female athlete ever to achieve a particular milestone or title in women’s singles competition.
-
D.
wonWimbledonSingles
Indicates that an entity has won the Wimbledon tennis tournament in the singles category.
-
E.
associatedWomanOfVictory
Indicates a relationship in which a woman is connected or linked to a particular victory, such as by contributing to, representing, or being honored in relation to that victory.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 3:45 p.m.