Triple
T12943264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Directions |
E309690
|
entity |
| Predicate | publisherOf |
P1760
|
FINISHED |
| Object | Hermann Hesse |
E140439
|
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: Hermann Hesse | Statement: [New Directions, publisherOf, Hermann Hesse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermann Hesse Context triple: [New Directions, publisherOf, Hermann Hesse]
-
A.
Herman Hesse
chosen
Herman Hesse was a German-Swiss novelist, poet, and painter best known for works like "Steppenwolf," "Siddhartha," and "The Glass Bead Game," which explore themes of self-discovery, spirituality, and individuality.
-
B.
Johannes Hesse
Johannes Hesse was a Baltic German missionary and publisher best known as the father of the Nobel Prize–winning author Hermann Hesse.
-
C.
Hermann Hess
Hermann Hess was a mountaineer known for making the first recorded ascent of Monte San Valentín, the highest peak in Chilean Patagonia.
-
D.
Paul Hesse
Paul Hesse was the husband of American actress and fashion designer Elyse Knox.
-
E.
Alberta Hesse
Alberta Hesse was the wife of American crime novelist Jim Thompson.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1a28688190ab9fd1307bc76b4a |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af73e6348190be114e8c5ad181bf |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.