Triple
T37554665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Colomar |
E933665
|
entity |
| Predicate | notableEnemyOrganization |
P20450
|
FINISHED |
| Object | Volskaya Industries |
E2230078
|
NE 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: Volskaya Industries | Statement: [Olivia Colomar, notableEnemyOrganization, Volskaya Industries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEnemyOrganization Context triple: [Olivia Colomar, notableEnemyOrganization, Volskaya Industries]
-
A.
enemyOrganization
chosen
Indicates that one organization is considered an adversary or opponent of another organization, typically in a hostile or competitive context.
-
B.
villainOrganization
Indicates that an entity is an organization characterized as antagonistic, criminal, or evil within a given context or narrative.
-
C.
resistanceOrganization
Indicates an organization that actively opposes, resists, or fights against a dominant power, regime, or occupying force.
-
D.
enemyOfOrganization
Indicates a hostile or adversarial relationship in which an entity opposes, threatens, or acts against an organization.
-
E.
notableAdversaryFormation
Indicates the formation or establishment of a significant opposing force, rival group, or adversarial entity in relation to another.
- F. None of above.
Provenance (4 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a409f13b8588190bbd38f184a28686d |
completed | June 28, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.