Triple
T34701310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Kuffour |
E1000375
|
entity |
| Predicate | DFBPokalTitleWith |
P34122
|
FINISHED |
| Object | Bayern Munich |
—
|
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: Bayern Munich | Statement: [Samuel Kuffour, DFBPokalTitleWith, Bayern Munich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DFBPokalTitleWith Context triple: [Samuel Kuffour, DFBPokalTitleWith, Bayern Munich]
-
A.
numberOfDFBPokalTitles
chosen
Indicates the number of DFB-Pokal titles that an entity has won.
-
B.
FDGB-PokalTitles
Indicates the number of FDGB-Pokal (East German Cup) titles an entity has won.
-
C.
FIBATitle
Indicates that an entity holds or is associated with an official title or designation granted by the International Basketball Federation (FIBA).
-
D.
BeanpotTitles
Indicates that the subject has won one or more championship titles in the Beanpot ice hockey tournament.
-
E.
nationalCupTitle
Indicates that an entity has won a national-level cup competition title in a given sport or domain.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.