Triple
T14932637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Hellmut Kirst |
E372306
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hellmut |
E373735
|
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: Hellmut | Statement: [Hans Hellmut Kirst, givenName, Hellmut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellmut Context triple: [Hans Hellmut Kirst, givenName, Hellmut]
-
A.
Hellmut
chosen
Hellmut is a masculine given name of German origin, used as a variant spelling of Helmut.
-
B.
Burkhard
Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
-
C.
Lindorf
Lindorf is a sinister, manipulative antagonist in Offenbach’s opera "The Tales of Hoffmann," embodying one of the forces that thwart the poet Hoffmann’s romantic pursuits.
-
D.
Dommitzsch
Dommitzsch is a small town in the German state of Saxony that forms part of the wider Leipzig metropolitan area.
-
E.
Mahates
Mahates is a municipality and town in northern Colombia known for its Afro-Colombian cultural heritage and historical significance in the Bolívar Department.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8ac6d08190809045a6d00a3d47 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:37 a.m.