Triple
T6407131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detlef Schrempf |
E127612
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Detlef |
E150954
|
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: Detlef | Statement: [Detlef Schrempf, givenName, Detlef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Detlef Context triple: [Detlef Schrempf, givenName, Detlef]
-
A.
Detlef
chosen
Detlef is a masculine given name of German origin, commonly used in German-speaking countries.
-
B.
Detlev
Detlev is a masculine given name of German origin, historically borne by several notable figures in science and academia.
-
C.
Hans-Jürgen
Hans-Jürgen is a masculine German given name, typically used as a compound first name combining "Hans" and "Jürgen."
-
D.
Tom Güldemann
Tom Güldemann is a linguist known for his extensive research on African languages, particularly the Khoe and other Khoisan language families.
-
E.
Manfred Schmidt
Manfred Schmidt is a relatively obscure individual whose primary distinguishing feature in this context is simply sharing the common German surname "Schmidt."
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068b3541c8190be89b24b313d7300 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638af5450819089d0b68721eaea4d |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:41 p.m.