Triple
T36444887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Budge |
E897843
|
entity |
| Predicate | DavisCupYearsWon |
P57446
|
FINISHED |
| Object | 1937 |
—
|
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: 1937 | Statement: [Don Budge, DavisCupYearsWon, 1937]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DavisCupYearsWon Context triple: [Don Budge, DavisCupYearsWon, 1937]
-
A.
DavisCupFinalAppearances
Indicates the number of times an entity has reached the final round of the Davis Cup tennis competition.
-
B.
davisCupTitle
chosen
Indicates that the subject has won a Davis Cup tennis title, specifying a championship victory in the Davis Cup competition.
-
C.
mostDavisCupTitlesRecord
Indicates the record-holding relationship where an entity has won the greatest number of Davis Cup titles compared to all others.
-
D.
ThomasCupTitle
Indicates that an entity (typically a team or country) has won the Thomas Cup championship title in badminton.
-
E.
MastersWinYear
Indicates the year in which a given entity won the Masters 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.