Triple
T34232388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamar Rabinyan |
E878234
|
entity |
| Predicate | primaryAntagonisticOrganization |
P57244
|
FINISHED |
| Object | Iranian security services |
E2027045
|
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: Iranian security services | Statement: [Tamar Rabinyan, primaryAntagonisticOrganization, Iranian security services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAntagonisticOrganization Context triple: [Tamar Rabinyan, primaryAntagonisticOrganization, Iranian security services]
-
A.
enemyOfOrganization
chosen
Indicates a hostile or adversarial relationship in which an entity opposes, threatens, or acts against an organization.
-
B.
villainOrganization
Indicates that an entity is an organization characterized as antagonistic, criminal, or evil within a given context or narrative.
-
C.
enemyOrganization
Indicates that one organization is considered an adversary or opponent of another organization, typically in a hostile or competitive context.
-
D.
usedByAntagonistOrganization
Indicates that something (such as an object, resource, method, or location) is employed or exploited by an antagonist organization for its purposes.
-
E.
criminalOrganization
Indicates that the subject is an organized group engaged in ongoing illegal activities, often with structured hierarchy and coordination.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36d5e29b848190a88f4935b113ef02 |
completed | June 20, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:56 a.m.