Triple
T18807334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustav Schwab |
E459907
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gustav Schwab |
—
|
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: Gustav Schwab | Statement: [Gustav Schwab, name, Gustav Schwab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gustav Schwab Context triple: [Gustav Schwab, name, Gustav Schwab]
-
A.
Gustav Schwab
chosen
Gustav Schwab was a 19th-century German writer, pastor, and classical scholar best known for popularizing Greek and Roman myths through his retellings.
-
B.
Ludwig Ferdinand Hesse
Ludwig Ferdinand Hesse was a 19th-century German architect known for his work on significant ecclesiastical and royal buildings in Prussia.
-
C.
Heinrich Lersch
Heinrich Lersch was a German poet and writer known for his working-class background and nationalistic verse during the early 20th century.
-
D.
Heinrich Laube
Heinrich Laube was a 19th-century German writer, critic, and theater director associated with the liberal literary movement Young Germany.
-
E.
Ludwig Lange
Ludwig Lange was a 19th-century German architect known for his neoclassical designs and influential work on major public buildings in Europe.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d8ab9c819097834eac798ce810 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.