Triple
T10426488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lusser |
E245801
|
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.
Udet
Udet is the surname most famously associated with Ernst Udet, a renowned German World War I flying ace and later Luftwaffe officer.
-
E.
Jumo 004
The Jumo 004 was a pioneering German turbojet engine developed during World War II and used to power aircraft such as the Messerschmitt Me 262.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea498ab08190b451c0b257c0711b |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc2b50b48190b1d5b29d19a240c2 |
completed | April 9, 2026, 7:21 p.m. |
Created at: April 6, 2026, 12:12 p.m.