Triple
T19904901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JG 51 |
E478387
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Mölders |
—
|
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: Mölders | Statement: [JG 51, namedAfter, Mölders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mölders Context triple: [JG 51, namedAfter, Mölders]
-
A.
Mölders
chosen
Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
-
B.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
-
C.
Höttges
Höttges is a German surname most prominently associated with Timotheus Höttges, the CEO of Deutsche Telekom.
-
D.
Lausitz Guenther
Lausitz Guenther is best known as the husband of British-Polish actress and horror icon Ingrid Pitt.
-
E.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65945cc2081908224902d5f042d7a |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.