Triple
T19716505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf Dietrich von Raitenau |
E473490
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wolf Dietrich |
—
|
NE NERFINISHED |
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: Wolf Dietrich | Statement: [Wolf Dietrich von Raitenau, givenName, Wolf Dietrich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolf Dietrich Context triple: [Wolf Dietrich von Raitenau, givenName, Wolf Dietrich]
-
A.
Wolfdietrich
chosen
Wolfdietrich is a Germanic masculine given name of medieval origin, borne by legendary heroes in Middle High German epics.
-
B.
Wolf Lieser
Wolf Lieser is a German gallerist and curator best known for founding the Digital Art Museum (DAM) and promoting digital and computer-based art.
-
C.
Wolf Kretzschmar
Wolf Kretzschmar is a film and television producer known for his work on the Norwegian Netflix series "Home for Christmas."
-
D.
Wolf Kroeger
Wolf Kroeger is a German-born production designer and art director known for his work on major films including the 1980 adaptation of "Popeye."
-
E.
Wolf Rüdiger
Wolf Rüdiger was a German architect and author best known as the son of Rudolf Hess and for his controversial efforts to rehabilitate his father's reputation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440d96288190bfb732d2f8ceac79 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.