Triple
T23307011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uwe Thiel |
E590473
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Uwe |
E903917
|
NE 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: Uwe | Statement: [Uwe Thiel, hasGivenName, Uwe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uwe Context triple: [Uwe Thiel, hasGivenName, Uwe]
-
A.
Uwe
chosen
Uwe is a masculine given name of German origin, commonly associated with notable figures such as the legendary footballer Uwe Seeler.
-
B.
Jörg
Jörg is a masculine given name of German origin, commonly used in German-speaking countries.
-
C.
Ortwin
Ortwin is the middle name of Carl O. Sauer, a prominent American geographer known for his influential work in cultural and historical geography.
-
D.
Dettmar
Dettmar is a German given name most notably borne by football coach Dettmar Cramer, a key figure in the development of modern soccer tactics.
-
E.
Völler
Völler is a German surname most famously associated with Rudi Völler, a former professional footballer and World Cup–winning striker who later became a prominent coach and football executive.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972846fc819092ca2b9590b2e177 |
completed | April 29, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c9af5c481908d9bccc9e0370c9f |
completed | May 19, 2026, 11:42 a.m. |
Created at: April 17, 2026, 5:05 p.m.