Triple

T9574759
Position Surface form Disambiguated ID Type / Status
Subject MyNetworkTV E231017 entity
Predicate affiliationModel P54078 FINISHED
Object programming service for affiliated stations — 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: programming service for affiliated stations | Statement: [MyNetworkTV, affiliationModel, programming service for affiliated stations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: affiliationModel
Context triple: [MyNetworkTV, affiliationModel, programming service for affiliated stations]
  • A. hasAffiliationModel chosen
    Indicates that one entity uses, follows, or is governed by a particular affiliation model in its relationships or organizational structure.
  • B. affiliationStart
    Indicates the point in time when an entity’s formal association or membership with another entity begins.
  • C. holderAffiliation
    Indicates that a holder (such as a person or organization) is affiliated with, or belongs to, a particular group, institution, or entity.
  • D. subjectAffiliation
    Indicates that a subject is formally associated or connected with a particular organization, group, or institution.
  • E. administrativeAffiliation
    Indicates that one entity is formally connected to, governed by, or overseen by another entity within an administrative or organizational structure.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aa964c8190a50717edff30f10b completed April 1, 2026, 10:18 p.m.
PD Predicate disambiguation batch_69ccd59b960c8190966a8870a2426bd5 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:05 p.m.