Triple

T3973000
Position Surface form Disambiguated ID Type / Status
Subject TV One E92375 entity
Predicate contentStrategy P5388 FINISHED
Object niche audience targeting 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: niche audience targeting | Statement: [TV One, contentStrategy, niche audience targeting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contentStrategy
Context triple: [TV One, contentStrategy, niche audience targeting]
  • A. mediaStrategy chosen
    Indicates a relationship where an entity plans, coordinates, or manages how media channels and content are used to achieve specific communication or marketing goals.
  • B. article2Content
    Indicates that one article serves as the content or body text for another article or higher-level publication entity.
  • C. contentProvider
    Indicates that one entity serves as the source or supplier of content (such as media, information, or data) for another entity.
  • D. GCContent
    Indicates the proportion of guanine (G) and cytosine (C) bases relative to the total nucleotide content in a DNA or RNA sequence.
  • E. hasEditorialContent
    Indicates that an entity includes or is associated with editorially created or curated content, such as articles, commentary, or opinion pieces.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69aef8f252b081909749d40440d372b2 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:32 p.m.