Triple
T23605819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esio Trot |
E582892
|
entity |
| Predicate | aimOfProtagonist |
P91485
|
FINISHED |
| Object | to win the affection of his neighbor Mrs Silver |
—
|
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: to win the affection of his neighbor Mrs Silver | Statement: [Esio Trot, aimOfProtagonist, to win the affection of his neighbor Mrs Silver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimOfProtagonist Context triple: [Esio Trot, aimOfProtagonist, to win the affection of his neighbor Mrs Silver]
-
A.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
B.
missionOfAntagonist
Indicates the primary goal, plan, or objective that the antagonist is actively pursuing.
-
C.
protagonistAction
Indicates that the referenced entity performs the central or primary action associated with the main character in a narrative or scenario.
-
D.
characterMotivation
chosen
Indicates the underlying reasons, desires, or goals that drive a character’s actions and decisions within a narrative.
-
E.
aimOfAttacker
Indicates that a particular goal, target, or objective is what the attacker intends to achieve or affect.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0ef32b481909590a1a5853df5d9 |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:44 p.m.