Triple

T5691134
Position Surface form Disambiguated ID Type / Status
Subject Korean film industry E125428 entity
Predicate hasStreamingPresence P21248 FINISHED
Object Amazon Prime Video E21778 NE 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: Amazon Prime Video | Statement: [Korean film industry, hasStreamingPresence, Amazon Prime Video]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amazon Prime Video
Context triple: [Korean film industry, hasStreamingPresence, Amazon Prime Video]
  • A. Amazon Prime Video chosen
    Amazon Prime Video is a subscription-based streaming service from Amazon that offers a wide range of movies, TV series, and original content available on-demand across multiple devices.
  • B. Amazon Freevee
    Amazon Freevee is a free, ad-supported streaming service from Amazon that offers a mix of movies, TV shows, and original programming.
  • C. Netflix
    Netflix is a global streaming entertainment company best known for its vast library of films and TV series and its influential original content.
  • D. Amazon Prime
    Amazon Prime is a subscription service from Amazon that offers members benefits like fast shipping, streaming video and music, and access to exclusive deals.
  • E. HBO Max
    HBO Max is a streaming service from WarnerMedia that offers a wide library of movies, series, and original content from HBO and related brands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0335cf55c8190937a8657406ac4a2 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4baea481908b4766888fd3edf1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.