Triple
T25462652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Championships 1960 |
E638090
|
entity |
| Predicate | menDoublesRunnersUp |
P159449
|
FINISHED |
| Object | Neale Fraser |
—
|
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: Neale Fraser | Statement: [Australian Championships 1960, menDoublesRunnersUp, Neale Fraser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: menDoublesRunnersUp Context triple: [Australian Championships 1960, menDoublesRunnersUp, Neale Fraser]
-
A.
mixedDoublesChampions
Indicates that the related entities together won a mixed doubles championship in a given event or competition.
-
B.
GrandTourDoubles
Indicates a competitive doubles tennis event or match that is part of a Grand Slam (Grand Tour) tournament series.
-
C.
men'sSinglesChampion
Indicates that the subject is the winner of the men's singles competition in a given event or tournament.
-
D.
doubleWinner
Indicates that the same entity has won the relevant award, contest, or recognition twice.
-
E.
womenSinglesRunnerUp
Indicates that the person was the runner-up in a women’s singles competition or event.
- F. None of above. chosen
Provenance (4 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_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 21, 2026, 2:12 p.m.