Triple
T19010466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen Connolly |
E465207
|
entity |
| Predicate | wonAustralianChampionshipsSingles |
P95313
|
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: [Maureen Connolly, wonAustralianChampionshipsSingles, 1953]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonAustralianChampionshipsSingles Context triple: [Maureen Connolly, wonAustralianChampionshipsSingles, 1953]
-
A.
australianOpenSinglesTitles
Indicates the number of Australian Open singles titles one entity has won.
-
B.
AustralasianTourWins
Indicates that the subject has achieved one or more tournament victories on the Australasian golf tour.
-
C.
numberOfAustralianChampionships
chosen
Indicates the count of Australian Championships that an entity has won or holds.
-
D.
careerSinglesTitles
Indicates the total number of singles titles an individual has won over the course of their entire professional career.
-
E.
grandSlamFinalistInSingles
Indicates that a person has reached the final round of a Grand Slam tennis tournament in singles competition.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a8225c81908e80ae7eb1c1301b |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.