Triple
T10770690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corpus Hermeticum |
E254065
|
entity |
| Predicate | firstPrintedEditionDate |
P18405
|
FINISHED |
| Object | 1471 |
—
|
LITERAL 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: 1471 | Statement: [Corpus Hermeticum, firstPrintedEditionDate, 1471]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPrintedEditionDate Context triple: [Corpus Hermeticum, firstPrintedEditionDate, 1471]
-
A.
firstEditionPublicationYear
chosen
Indicates the year in which an entity’s first edition was originally published.
-
B.
firstCollectedEditionYear
Indicates the year in which the first collected edition of a work was published or made available.
-
C.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
D.
firstEditionEndYear
Indicates the year in which the first edition of something (such as a work, event, or series) concluded or ceased to be current.
-
E.
printedFirstEditionOf
Indicates that the subject entity produced and issued the initial published edition of the object entity.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.