Triple
T10770681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corpus Hermeticum |
E254065
|
entity |
| Predicate | keyConcept |
P531
|
FINISHED |
| Object | Nous |
E359091
|
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: Nous | Statement: [Corpus Hermeticum, keyConcept, Nous]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nous Context triple: [Corpus Hermeticum, keyConcept, Nous]
-
A.
Nous
chosen
Nous is the ancient Greek philosophical concept of intellect or divine mind, often understood as the rational, ordering principle of the cosmos.
-
B.
Nos
Nos is the original Russian title of Nikolai Gogol's satirical short story "The Nose," which follows a St. Petersburg official whose nose leaves his face and develops a life of its own.
-
C.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
-
D.
Noss
Noss is a small, uninhabited island in the Shetland Islands of Scotland, renowned for its dramatic cliffs and important seabird colonies.
-
E.
Emme
Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d732314bcc8190980c6f698f64ccf5 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de23798af48190874d7e12c5155913 |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.