Triple

T12870541
Position Surface form Disambiguated ID Type / Status
Subject Bessie Carter E307836 entity
Predicate employer P7 FINISHED
Object Netflix (for Bridgerton) 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 (for Bridgerton) | Statement: [Bessie Carter, employer, Netflix (for Bridgerton)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Netflix (for Bridgerton)
Context triple: [Bessie Carter, employer, Netflix (for Bridgerton)]
  • A. NOW (streaming service)
    NOW is a UK-based subscription streaming and internet television service offering on-demand access to Sky’s entertainment, movies, and sports content without a long-term contract.
  • B. Netflix
    Netflix is a global streaming entertainment company best known for its vast library of films and TV series and its influential original content.
  • C. 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.
  • D. 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.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb4b28c8190a4ec9cad4e1e0f05 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.