Triple
T13518075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Hubermann |
E322818
|
entity |
| Predicate | enlistsIn |
P26292
|
FINISHED |
| Object | German army during World War II (as older conscript) |
—
|
LITERAL 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: German army during World War II (as older conscript) | Statement: [Hans Hubermann, enlistsIn, German army during World War II (as older conscript)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enlistsIn Context triple: [Hans Hubermann, enlistsIn, German army during World War II (as older conscript)]
-
A.
enlistedIn
chosen
Indicates that an individual has formally joined and is serving in a particular military or service organization.
-
B.
musteredIn
Indicates that an individual or unit was formally enrolled, assembled, or brought into active service within an organization, typically a military force.
-
C.
usesConscription
Indicates that a state or authority compels individuals into military or national service through mandatory conscription.
-
D.
enrolledIn
Indicates that one entity is formally registered as a participant in a course, program, or institution represented by another entity.
-
E.
musteredIntoService
Indicates that an entity has been formally enrolled or assembled into active duty or official service under an authority.
- F. None of above.
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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa27f048190bed33a98e28c8d09 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:44 p.m.