Triple

T14395565
Position Surface form Disambiguated ID Type / Status
Subject Mi E356939 entity
Predicate brandOf P1500 FINISHED
Object Mi TV E72079 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: Mi TV | Statement: [Mi, brandOf, Mi TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mi TV
Context triple: [Mi, brandOf, Mi TV]
  • A. Mi TV chosen
    Mi TV is a line of smart televisions by Xiaomi that run on the Android TV platform, offering integrated streaming apps and smart features.
  • B. This TV
    This TV is an American digital multicast television network known for airing a wide selection of feature films and classic television programming.
  • C. Imagine Television
    Imagine Television is the television production division of Imagine Entertainment, known for developing and producing a wide range of scripted and unscripted TV series.
  • D. Tiv
    The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
  • E. Mr. Television
    Mr. Television is the nickname of Milton Berle, a pioneering American comedian and actor who became one of the first major stars of early television.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551b006c8190b84449f2e2b59b62 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.