Triple
T8679227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theobald |
E205990
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Dietbold |
E726679
|
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: Dietbold | Statement: [Theobald, hasCognate, Dietbold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dietbold Context triple: [Theobald, hasCognate, Dietbold]
-
A.
Dietz
Dietz is a historic town in the German state of Hesse that once served as the political center of the County of Nassau-Dietz.
-
B.
Dieter
chosen
Dieter is a given name of German origin, often used as a diminutive or variant of the name Dietrich.
-
C.
Strentzel
Strentzel is a surname most notably associated with Louisa Wanda Strentzel, the wife of naturalist John Muir and member of a prominent California horticultural family.
-
D.
Crocetti
Crocetti is the original Italian surname of entertainer Dean Martin, born Dino Paul Crocetti.
-
E.
Matzelsberger
Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f8fa948190a070e90d17b4ede2 |
completed | March 31, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a98ee881908d546e9a55217792 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.