Triple
T30421459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeebo |
E773911
|
entity |
| Predicate | antiPiracyStrategy |
P109536
|
FINISHED |
| Object | online-only distribution |
—
|
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: online-only distribution | Statement: [Zeebo, antiPiracyStrategy, online-only distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antiPiracyStrategy Context triple: [Zeebo, antiPiracyStrategy, online-only distribution]
-
A.
counterMeasureAgainst
chosen
Indicates a relationship where one entity serves as a response or defensive action intended to prevent, mitigate, or neutralize the effects of another entity.
-
B.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by another entity.
-
C.
cooperationAgainst
Indicates a collaborative relationship in which two or more entities work together in opposition to a shared target or adversary.
-
D.
intelligenceAgencyOpposed
Indicates that an intelligence agency actively resists, obstructs, or works against a particular actor, policy, operation, or objective.
-
E.
controlsTraffickingOf
Indicates that one entity directs, manages, or exerts authority over the movement or trade of another entity, typically in an illicit or exploitative context.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68663d49c81908c44b8cb0f31d014 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:06 p.m.