Triple
T35707229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Wimbledon Championships |
E1031750
|
entity |
| Predicate | girlsSinglesChampion |
P183841
|
FINISHED |
| Object | Anastasia Potapova |
—
|
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: Anastasia Potapova | Statement: [2016 Wimbledon Championships, girlsSinglesChampion, Anastasia Potapova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: girlsSinglesChampion Context triple: [2016 Wimbledon Championships, girlsSinglesChampion, Anastasia Potapova]
-
A.
ladiesSinglesChampion
Indicates that one entity is the winner of the women's singles competition in a given event or tournament.
-
B.
goldMedalNationInLadiesSingles
Indicates that a nation is the country whose athlete won the gold medal in the ladies' singles event.
-
C.
womenAllAroundChampion
Indicates that women are present surrounding or on all sides of the champion.
-
D.
firstWomenSinglesAchiever
Indicates that the subject is the first female athlete ever to achieve a particular milestone or title in women’s singles competition.
-
E.
womenPastChampion
Indicates that the subject has previously won a championship title in a women's 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.