Triple
T9971913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard Langer |
E196227
|
entity |
| Predicate | seniorMajorChampionshipWins |
P91375
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Bernhard Langer, seniorMajorChampionshipWins, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seniorMajorChampionshipWins Context triple: [Bernhard Langer, seniorMajorChampionshipWins, 10]
-
A.
majorChampionshipWins
Indicates the number of major championship titles an entity has won.
-
B.
majorChampionshipSince
Indicates that an entity has won at least one major championship title starting from a specified time or year.
-
C.
OpenChampionshipWin
Indicates that an entity has achieved victory in an edition of the Open Championship (often known as The Open or British Open).
-
D.
numberOfMastersTournamentsWon
Indicates the number of Masters golf tournaments that an entity has won.
-
E.
numberOfOpenChampionshipsWon
Indicates the total count of Open Championships that an entity has won.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7bb03688190a3f4fc1988b8fafa |
completed | April 2, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:48 p.m.