Triple
T13030693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gene Sarazen |
E326430
|
entity |
| Predicate | wonOpenChampionship |
P88617
|
FINISHED |
| Object | 1932 |
—
|
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: 1932 | Statement: [Gene Sarazen, wonOpenChampionship, 1932]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonOpenChampionship Context triple: [Gene Sarazen, wonOpenChampionship, 1932]
-
A.
OpenChampionshipWin
chosen
Indicates that an entity has achieved victory in an edition of the Open Championship (often known as The Open or British Open).
-
B.
wonChampionshipAgainst
Indicates that one competitor secured a championship title by defeating another specific opponent.
-
C.
numberOfOpenChampionshipsWon
Indicates the total count of Open Championships that an entity has won.
-
D.
wonChampionshipInSeries
Indicates that an entity secured a championship title during a specified series or sequence of competitive events.
-
E.
wonTournament
Indicates that an entity emerged as the overall victor in a tournament competition.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efd18308190877b3269403b36e2 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:54 p.m.