Triple
T8827324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montresor |
E210047
|
entity |
| Predicate | plansRevengeAccordingTo |
P80866
|
FINISHED |
| Object | principle of punishing with impunity |
—
|
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: principle of punishing with impunity | Statement: [Montresor, plansRevengeAccordingTo, principle of punishing with impunity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plansRevengeAccordingTo Context triple: [Montresor, plansRevengeAccordingTo, principle of punishing with impunity]
-
A.
methodOfRevenge
chosen
Indicates a relationship where a specific action or strategy is used as the means by which revenge is carried out.
-
B.
causeOfVengeance
Indicates a relationship where one entity is the reason or trigger for another entity’s desire or act of vengeance.
-
C.
positionOnRevenge
Indicates a stance or attitude that one entity holds regarding the idea, acceptability, or pursuit of revenge.
-
D.
plannedVia
Indicates that something is arranged, organized, or scheduled by means of a particular method, process, or intermediary.
-
E.
primaryAdversaryPlanning
Indicates that an entity is the main opposing force actively formulating or directing plans against another 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc6034e8dc819099116d772e87569a |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c23d08481908d8c9b0ad3d1dc00 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:47 p.m.