Triple
T2756500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewald Loeser |
E61113
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Krupp conglomerate |
E31323
|
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: Krupp conglomerate | Statement: [Ewald Loeser, employer, Krupp conglomerate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krupp conglomerate Context triple: [Ewald Loeser, employer, Krupp conglomerate]
-
A.
Krupp (company)
chosen
Krupp (company) was a major German industrial conglomerate best known for its steel production and armaments manufacturing, playing a central role in both World Wars and in the development of heavy industry in Germany.
-
B.
Borsigwerke
Borsigwerke is a Berlin U-Bahn station on line U6 serving the Tegel district in the city’s northwest.
-
C.
Krupp family
The Krupp family is a prominent German industrial dynasty historically known for its powerful steel and armaments empire centered in Essen.
-
D.
Deutsche Werft AG
Deutsche Werft AG was a German shipbuilding company based in Hamburg, known for constructing naval vessels and submarines, particularly during the World War II era.
-
E.
Gustloff-Werke
Gustloff-Werke was a German arms manufacturer best known for producing rifles and other small arms for the Wehrmacht during the Nazi era.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8a292c8190ab3982434805241a |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc040c5f08190898e81938afe6884 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 6, 2026, 9:56 p.m.