Triple
T6751420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drums in the Night |
E154347
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Neumann |
E320872
|
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: Neumann | Statement: [Drums in the Night, hasCharacter, Neumann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neumann Context triple: [Drums in the Night, hasCharacter, Neumann]
-
A.
Neumann
chosen
Neumann is a variant spelling of the surname Newman, commonly of German origin and borne by various notable figures in science, mathematics, and the arts.
-
B.
Neubauer
Neubauer is a German surname borne by various notable individuals, including activists, politicians, and academics.
-
C.
Schröder
Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
-
D.
Kretschmann
Kretschmann is a German surname most prominently associated with actor Thomas Kretschmann, known for his roles in international film and television.
-
E.
Morgenstern
Morgenstern is a German surname borne by various notable figures in fields such as economics, literature, and the arts.
- 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_69c6880ef37881909268a5a7299b9293 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1dbc3a48190a35df5dad8c630e8 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b1a0d7481908a813fa5c2e1ba6e |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:11 p.m.