Triple
T7136371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Modest Proposal |
E166315
|
entity |
| Predicate | proposedSolutionInText |
P19560
|
FINISHED |
| Object | selling and eating Irish infants |
—
|
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: selling and eating Irish infants | Statement: [A Modest Proposal, proposedSolutionInText, selling and eating Irish infants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedSolutionInText Context triple: [A Modest Proposal, proposedSolutionInText, selling and eating Irish infants]
-
A.
proposesSystem
Indicates that one entity formally suggests or puts forward a particular system for consideration, adoption, or implementation by another entity.
-
B.
providesSolutionFor
Indicates that one entity offers or supplies a remedy, answer, or resolution to a problem, need, or issue associated with another entity.
-
C.
resolutionIdea
chosen
Indicates a proposed method, plan, or approach intended to resolve or address a particular issue, conflict, or problem.
-
D.
proposedPart
Indicates that one entity has been suggested or put forward to serve as a component or element of another entity.
-
E.
proposes
Indicates that one entity formally suggests or puts forward an idea, plan, or course of action to another entity for consideration or approval.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6926d748190bc8c150fc1860531 |
completed | March 27, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:45 p.m.