Triple
T20892832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduard Suess |
E514449
|
entity |
| Predicate | hasPartInHisName |
P5298
|
FINISHED |
| Object | Eduard |
—
|
NE NERFINISHED |
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: Eduard | Statement: [Eduard Suess, hasPartInHisName, Eduard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eduard Context triple: [Eduard Suess, hasPartInHisName, Eduard]
-
A.
Eduard
Eduard was the younger son of physicist Albert Einstein, known for his promising studies in psychiatry and his lifelong struggle with schizophrenia.
-
B.
Eduard
Eduard is one of the central protagonists in Johann Wolfgang von Goethe’s novel "Elective Affinities," whose actions and relationships drive the story’s exploration of passion, marriage, and moral conflict.
-
C.
Eduard
Eduard "Del" Delacroix is a fictional death row inmate from Stephen King's novel "The Green Mile," known for his close bond with a pet mouse and his tragic execution.
-
D.
Eduard
chosen
Eduard is a masculine given name of German origin, commonly used in various European countries.
-
E.
Eduard
Eduard is the given name of Count Eduard Taaffe, a prominent 19th-century Austrian statesman and long-serving Minister-President of Cisleithania in the Austro-Hungarian Empire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05f0bec8190a296db546bd34114 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:46 p.m.