Triple

T21044787
Position Surface form Disambiguated ID Type / Status
Subject Aimee Garcia E518419 entity
Predicate employer P7 FINISHED
Object Netflix (for Lucifer) NE NERFINISHED

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 Lucifer) | Statement: [Aimee Garcia, employer, Netflix (for Lucifer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Netflix (for Lucifer)
Context triple: [Aimee Garcia, employer, Netflix (for Lucifer)]
  • A. Netflix & Dusse
    "Netflix & Dusse" is a smooth, melodic hip-hop track by Smino that blends playful wordplay with laid-back, R&B-infused production.
  • B. 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.
  • C. 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.
  • D. Acorn TV
    Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
  • 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 (2 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf2fc4881909b9e3400864e6b82 completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:30 p.m.