Triple

T3341180
Position Surface form Disambiguated ID Type / Status
Subject U.S. broadcast television networks E70263 entity
Predicate primaryFundingModel P59 FINISHED
Object advertising-supported 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: advertising-supported | Statement: [U.S. broadcast television networks, primaryFundingModel, advertising-supported]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryFundingModel
Context triple: [U.S. broadcast television networks, primaryFundingModel, advertising-supported]
  • A. fundingModel chosen
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • B. primaryMode
    Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
  • C. primaryServes
    Indicates that one entity’s main or principal function is to serve, support, or provide service to another entity.
  • D. primaryType
    Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
  • E. majorRevenueSource
    Indicates that one entity serves as the primary or dominant source of revenue for another entity.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1c0ae44819091c851569eaf4565 completed March 8, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69ada42df1d48190874bb05f95deefde completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.