Triple

T22838049
Position Surface form Disambiguated ID Type / Status
Subject Smith family E565998 entity
Predicate mediaReach P2198 FINISHED
Object national U.S. television audience 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: national U.S. television audience | Statement: [Smith family, mediaReach, national U.S. television audience]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediaReach
Context triple: [Smith family, mediaReach, national U.S. television audience]
  • A. mediaInfluence
    Indicates that one entity affects, shapes, or alters another entity’s attitudes, behaviors, or perceptions through media content or channels.
  • B. mediaMarket chosen
    Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
  • C. mediaStrategy
    Indicates a relationship where an entity plans, coordinates, or manages how media channels and content are used to achieve specific communication or marketing goals.
  • D. metaInfluence
    Indicates an indirect or higher-order influence where one entity affects how another entity exerts influence.
  • E. socialSphereOfInfluence
    Indicates the range of people or groups that an entity can affect or be affected by through its social relationships and interactions.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8244dc819089c0a7525fb512ab completed April 29, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69eed2d117088190acbfe130d84f8627 completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:35 p.m.