Triple

T713052
Position Surface form Disambiguated ID Type / Status
Subject Arrested Development E14250 entity
Predicate originalNetwork P2594 FINISHED
Object Netflix E3004 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: Netflix | Statement: [Arrested Development, originalNetwork, Netflix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Netflix
Context triple: [Arrested Development, originalNetwork, Netflix]
  • A. Hulu
    Hulu is a U.S.-based subscription streaming service offering on-demand access to a wide range of television shows, films, and original content.
  • B. Amazon Prime Video
    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.
  • C. Paramount+
    Paramount+ is a subscription-based streaming service from Paramount Global that offers live sports, original series, and a wide range of on-demand TV shows and movies.
  • D. Disney+
    Disney+ is a subscription-based streaming service from The Walt Disney Company that offers movies and TV shows from Disney, Pixar, Marvel, Star Wars, National Geographic, and more.
  • E. Netflix, Inc. chosen
    Netflix, Inc. is a leading global streaming entertainment company known for its vast library of films and TV series, including a significant slate of original content.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55ee4fc81909358659ec3bc435f completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb5578c8190b5380f1994fdb4d2 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.