Triple
T2615335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book IV |
E58873
|
entity |
| Predicate | workAddressedTo |
P27864
|
FINISHED |
| Object | learned readers of early modern Europe |
—
|
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: learned readers of early modern Europe | Statement: [Book IV, workAddressedTo, learned readers of early modern Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAddressedTo Context triple: [Book IV, workAddressedTo, learned readers of early modern Europe]
-
A.
addressedBy
Indicates that something (such as an issue, request, or item) is handled, dealt with, or responded to by a particular agent or entity.
-
B.
isAddressedTo
chosen
Indicates that a message, communication, or item is specifically directed or intended for a particular recipient.
-
C.
enactedToAddress
Indicates that something (such as a law, policy, or measure) was formally put into effect specifically to deal with or remedy a particular issue, problem, or need.
-
D.
characterAddressed
Indicates that one character directs speech, communication, or attention specifically toward another character.
-
E.
governmentBodyAddressed
Indicates that a particular government body is the one being directly addressed or targeted by a communication, action, or request.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.