Triple
T2206334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lusser |
E50805
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Messerschmitt |
E114107
|
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: Messerschmitt | Statement: [Robert Lusser, employer, Messerschmitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messerschmitt Context triple: [Robert Lusser, employer, Messerschmitt]
-
A.
Messerschmitt
chosen
Messerschmitt was a prominent German aircraft manufacturer best known for producing fighter planes such as the Bf 109 and Me 262 during World War II.
-
B.
Focke-Wulf
Focke-Wulf was a German aircraft manufacturer best known for producing several prominent World War II military aircraft, including the Fw 190 fighter.
-
C.
Heinkel
Heinkel was a German aircraft manufacturing company best known for producing military aircraft for Nazi Germany during World War II.
-
D.
Arado Flugzeugwerke
Arado Flugzeugwerke was a German aircraft manufacturer best known for producing military planes for the Luftwaffe during World War II, including pioneering jet-powered designs.
-
E.
Junkers
Junkers was a pioneering German aircraft manufacturer renowned for producing innovative military and civilian airplanes, particularly during the early to mid-20th century.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfca300c81908b33debafa77d152 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654b89b081908f8c8b9bfc0b6579 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.