Triple
T25462649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Championships 1960 |
E638090
|
entity |
| Predicate | menDoublesChampions |
P156503
|
FINISHED |
| Object | Rod Laver |
—
|
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: Rod Laver | Statement: [Australian Championships 1960, menDoublesChampions, Rod Laver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menDoublesChampions Context triple: [Australian Championships 1960, menDoublesChampions, Rod Laver]
-
A.
WimbledonDoublesChampion
Indicates that the subject has won the doubles championship title at the Wimbledon tennis tournament.
-
B.
men'sSinglesChampion
Indicates that the subject is the winner of the men's singles competition in a given event or tournament.
-
C.
grandSlamDoublesTitles
Indicates the number of Grand Slam tennis doubles titles an entity has won.
-
D.
AustralianOpenDoublesChampion
chosen
Indicates that the subject is the winner of the doubles competition at the Australian Open tennis tournament for a given year.
-
E.
grandSlamMixedDoublesTitles
Indicates the number of Grand Slam tennis titles an entity has won in mixed doubles events.
- 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_69e75db8bab08190baca80b4a8c315fd |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f72d0cc08190ba91a9dc39b1d848 |
completed | May 2, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:12 p.m.