Triple
T14167220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detlev Borchers |
E351110
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Detlev |
E23265
|
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: Detlev | Statement: [Detlev Borchers, givenName, Detlev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Detlev Context triple: [Detlev Borchers, givenName, Detlev]
-
A.
Detlev
chosen
Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
-
B.
Detlef
Detlef is a masculine given name of German origin, commonly used in German-speaking countries.
-
C.
Jörg
Jörg is a masculine given name of German origin, commonly used in German-speaking countries.
-
D.
Ortwin
Ortwin is the middle name of Carl O. Sauer, a prominent American geographer known for his influential work in cultural and historical geography.
-
E.
Holger
Holger is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden and Denmark.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f57ad88190aeb8ee0f834bfa20 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1 a.m.