Triple
T34637824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Renshaw |
E889477
|
entity |
| Predicate | numberOfWimbledonSinglesTitles |
P9287
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [William Renshaw, numberOfWimbledonSinglesTitles, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWimbledonSinglesTitles Context triple: [William Renshaw, numberOfWimbledonSinglesTitles, 7]
-
A.
wimbledonSinglesTitles
chosen
Indicates the number of Wimbledon singles championship titles an entity has won.
-
B.
consecutiveWimbledonSinglesTitles
Indicates that one entity has won Wimbledon singles titles in consecutive years.
-
C.
wonWimbledonSingles
Indicates that an entity has won the Wimbledon tennis tournament in the singles category.
-
D.
WimbledonSinglesFinals
Indicates that the entities are participants in the singles final match of the Wimbledon tennis tournament.
-
E.
WimbledonSinglesSemifinalAppearances
Indicates the number of times an entity has reached the singles semifinal round at the Wimbledon tennis tournament.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:04 a.m.