Triple

T1181096
Position Surface form Disambiguated ID Type / Status
Subject Black Mirror: Arkangel E25137 entity
Predicate exploresIssue P1857 FINISHED
Object ethical implications of child surveillance 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: ethical implications of child surveillance | Statement: [Black Mirror: Arkangel, exploresIssue, ethical implications of child surveillance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: exploresIssue
Context triple: [Black Mirror: Arkangel, exploresIssue, ethical implications of child surveillance]
  • A. explores chosen
    Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
  • B. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • C. frequentlyDiscussedIn
    Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
  • D. issues
    Indicates that an entity formally produces, releases, or distributes something, such as a document, order, or resource, making it officially available.
  • E. currentIssue
    Indicates that an entity is the presently relevant or active issue in a given context or discussion.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd32c5f48190b4e2d39fa052cbb7 completed March 1, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69a4bb59ca6c81908597a81646674aaa completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.