Triple
T23785428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avdotya Romanovna Raskolnikova |
E587936
|
entity |
| Predicate | usesWeaponAgainst |
P13821
|
FINISHED |
| Object | Arkady Ivanovich Svidrigailov |
—
|
NE NERFINISHED |
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: Arkady Ivanovich Svidrigailov | Statement: [Avdotya Romanovna Raskolnikova, usesWeaponAgainst, Arkady Ivanovich Svidrigailov]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWeaponAgainst Context triple: [Avdotya Romanovna Raskolnikova, usesWeaponAgainst, Arkady Ivanovich Svidrigailov]
-
A.
weaponUsedAgainst
Indicates that a particular weapon or instrument is employed in an act of aggression, attack, or harm directed toward a specific target or entity.
-
B.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
C.
usedAgainst
chosen
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
D.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
-
E.
defensiveUse
Indicates that an entity uses something primarily for protection or defense against threats or attacks.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c630f81c81909413ba06ae27ebfc |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.