Triple
T14430222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Friedrichs |
E357805
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Friedrichs |
E336543
|
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: Friedrichs | Statement: [Kurt Friedrichs, familyName, Friedrichs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Friedrichs Context triple: [Kurt Friedrichs, familyName, Friedrichs]
-
A.
Friedrichs
chosen
Friedrichs is a German surname derived from the given name Friedrich, typically meaning "son or descendant of Friedrich."
-
B.
Helfferich
Helfferich is a German surname most notably associated with Karl Helfferich, an influential early 20th-century economist and politician in the German Empire.
-
C.
Katzenbach
Katzenbach is a surname most notably associated with Nicholas deB. Katzenbach, a prominent American lawyer and former U.S. Attorney General.
-
D.
Farrand
Farrand is the surname of Beatrix Farrand, a pioneering American landscape architect known for designing gardens at estates, universities, and public institutions in the late 19th and early 20th centuries.
-
E.
Kleindienst
Kleindienst is a German-language surname most notably associated with Richard G. Kleindienst, a former U.S. Attorney General during the Nixon administration.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd1c4d0819085edb9ed22128b68 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.