Triple
T35707237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Wimbledon Championships |
E1031750
|
entity |
| Predicate | wheelchairMenDoublesChampions |
P184441
|
FINISHED |
| Object | Alfie Hewett |
—
|
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: Alfie Hewett | Statement: [2016 Wimbledon Championships, wheelchairMenDoublesChampions, Alfie Hewett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wheelchairMenDoublesChampions Context triple: [2016 Wimbledon Championships, wheelchairMenDoublesChampions, Alfie Hewett]
-
A.
wheelchairChampion
Indicates that an entity has won a championship or major title in a wheelchair-based sport or competition.
-
B.
wheelchairDivision
Indicates that an entity participates in or is associated with a competition, league, or category specifically designated for wheelchair users.
-
C.
mixedDoublesChampions
Indicates that the related entities together won a mixed doubles championship in a given event or competition.
-
D.
boysDoublesChampions
Indicates that the related entities are the winners of a boys’ doubles championship event.
-
E.
wheelchairEventsIncluded
Indicates that the specified events explicitly include or accommodate the use of wheelchairs.
- 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_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:05 p.m.