Triple

T7168997
Position Surface form Disambiguated ID Type / Status
Subject Twitch Affiliate Program E167143 entity
Predicate revenueShareModel P47496 FINISHED
Object revenue split between Twitch and creator 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: revenue split between Twitch and creator | Statement: [Twitch Affiliate Program, revenueShareModel, revenue split between Twitch and creator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: revenueShareModel
Context triple: [Twitch Affiliate Program, revenueShareModel, revenue split between Twitch and creator]
  • A. relatedCommission
    Indicates that one commission is connected or associated with another commission in a relevant contextual or functional way.
  • B. fundingModel
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • C. rewardModel
    Indicates a relationship where one entity serves as a model or framework for assigning rewards or evaluating outcomes for another entity or process.
  • D. allianceCurrencySharing
    Indicates that members of an alliance share or coordinate the use, management, or benefits of a common currency or monetary system.
  • E. hasBroadcastRevenueModel chosen
    Indicates that one entity uses or is associated with a particular revenue model based on broadcasting activities.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85c606081909f76d76fc5b90bc8 completed March 27, 2026, 8:28 p.m.
PD Predicate disambiguation batch_69c6e1ce5f048190808c378a980f7bb6 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:48 p.m.