Triple
T16108342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Jakob Kraus |
E390801
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kraus |
E1121282
|
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: Kraus | Statement: [Christian Jakob Kraus, familyName, Kraus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kraus Context triple: [Christian Jakob Kraus, familyName, Kraus]
-
A.
Kraus
chosen
Kraus is a German-language surname borne by numerous notable figures in fields such as literature, philosophy, and the arts.
-
B.
Krassner
Krassner is the family name of Lee Krasner, the influential American abstract expressionist painter.
-
C.
Krause
Krause is a German-origin surname borne by numerous notable individuals across sports, politics, science, and the arts.
-
D.
Krafft
Krafft is a variant spelling of the surname Kraft, which is of German origin and borne by various notable individuals.
-
E.
Kramers
Kramers is a Dutch surname most notably associated with physicist Hendrik Anthony Kramers, known for his contributions to quantum mechanics and statistical physics.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20165aa9c81908c5358cca2b0d0fe |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba4479c81909f7d43e33f228f7e |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5 a.m.