Triple
T11469174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kxʼa languages |
E271855
|
entity |
| Predicate | namedBy |
P63
|
FINISHED |
| Object | Tom Güldemann |
E326613
|
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: Tom Güldemann | Statement: [Kxʼa languages, namedBy, Tom Güldemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Güldemann Context triple: [Kxʼa languages, namedBy, Tom Güldemann]
-
A.
Tom Güldemann
chosen
Tom Güldemann is a linguist known for his extensive research on African languages, particularly the Khoe and other Khoisan language families.
-
B.
Ralf Dörper
Ralf Dörper is a German musician and songwriter best known as a founding member of the synth-pop band Propaganda and for his influential role in the 1980s electronic music scene.
-
C.
Ralf Eckert
Ralf Eckert is a German former professional footballer and coach known for his contributions to German club football.
-
D.
Klaus Badelt
Klaus Badelt is a German film composer best known for his work on major Hollywood scores such as "Pirates of the Caribbean: The Curse of the Black Pearl."
-
E.
Klaus Busse
Klaus Busse is a German automotive designer known for leading design at Maserati and other Stellantis brands, shaping the look of several modern luxury and performance vehicles.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9112948190a0dd747a67f8206a |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 8, 2026, 9:35 p.m.