Triple
T6044018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Mirror |
E134619
|
entity |
| Predicate | laterDistributedIn |
P64619
|
FINISHED |
| Object | international markets via Netflix |
—
|
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: international markets via Netflix | Statement: [Black Mirror, laterDistributedIn, international markets via Netflix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterDistributedIn Context triple: [Black Mirror, laterDistributedIn, international markets via Netflix]
-
A.
laterDistributedOn
Indicates that something was distributed or made available at a time later than a referenced distribution or event date.
-
B.
distributesIn
Indicates that one entity allocates or hands out something (e.g., items, resources, information) within or across a specified area, group, or context.
-
C.
laterReleased
Indicates that one entity was released at a time chronologically after the release of another entity.
-
D.
laterDeployedIn
Indicates that one entity was deployed or put into operation in a particular context, location, or system at a later time than another.
-
E.
isDistributedThrough
chosen
Indicates that something is supplied, circulated, or made available to others via a particular channel, medium, or distribution mechanism.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e2b1148190908c4dc43abee266 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.