Triple
T36716770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe Didrikson Zaharias |
E906932
|
entity |
| Predicate | majorGolfChampionshipWin |
P108525
|
FINISHED |
| Object | U.S. Women’s Open |
—
|
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: U.S. Women’s Open | Statement: [Babe Didrikson Zaharias, majorGolfChampionshipWin, U.S. Women’s Open]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorGolfChampionshipWin Context triple: [Babe Didrikson Zaharias, majorGolfChampionshipWin, U.S. Women’s Open]
-
A.
majorChampionshipWins
Indicates the number of major championship titles an entity has won.
-
B.
wonPGAChampionship
Indicates that one entity has won the PGA Championship golf tournament.
-
C.
seniorMajorChampionshipWin
Indicates that an entity has won a major championship title in a senior-level competition.
-
D.
OpenChampionshipWin
Indicates that an entity has achieved victory in an edition of the Open Championship (often known as The Open or British Open).
-
E.
majorChampionship
chosen
Indicates that an entity has won or holds a significant, top-tier championship title in a competitive field.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffcb5536d88190bfc2e00b854cacfb |
completed | May 10, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69ffc900c2a081909dea04aa60566923 |
completed | May 9, 2026, 11:53 p.m. |
Created at: May 3, 2026, 4:12 p.m.