Triple
T10866503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viktor Hartmann |
E256543
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hartmann |
E107131
|
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: Hartmann | Statement: [Viktor Hartmann, familyName, Hartmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartmann Context triple: [Viktor Hartmann, familyName, Hartmann]
-
A.
Hartmann
chosen
Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
-
B.
Hartman
Hartman is a surname of Germanic origin borne by various notable individuals across fields such as entertainment, academia, and politics.
-
C.
Habermann
Habermann is a 2010 Czech-German war drama film directed by Juraj Herz that portrays the moral and ethnic tensions in a Sudeten village during and after World War II.
-
D.
Klostermann
Klostermann is a German academic publishing house known for its influential works in philosophy and the humanities.
-
E.
Oberhauser
Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7516e15448190aefdba1aa635baea |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7d7b32081909dd5f8ae3fe293be |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.