Triple

T15330163
Position Surface form Disambiguated ID Type / Status
Subject Like Father E366510 entity
Predicate distributor P1951 FINISHED
Object Netflix Originals E118902 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 Originals | Statement: [Like Father, distributor, Netflix Originals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Netflix Originals
Context triple: [Like Father, distributor, Netflix Originals]
  • A. Netflix chosen
    Netflix is a global streaming entertainment company best known for its vast library of films and TV series and its influential original content.
  • B. Max Originals
    Max Originals is the banner for exclusive original films and series produced for Warner Bros. Discovery’s Max streaming service.
  • C. 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.
  • D. Sky Originals
    Sky Originals is the brand under which Sky produces and commissions its own exclusive television series, films, and other original content for its broadcast and streaming platforms.
  • E. Acorn TV
    Acorn TV is a subscription streaming service specializing in British and international television dramas, mysteries, and comedies.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b1b2d08190a158bf65535ad750 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:17 a.m.