Triple

T3419005
Position Surface form Disambiguated ID Type / Status
Subject Google Play Movies & TV E72073 entity
Predicate formerName P65 FINISHED
Object Google Movies E72073 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: Google Movies | Statement: [Google Play Movies & TV, formerName, Google Movies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Movies
Context triple: [Google Play Movies & TV, formerName, Google Movies]
  • A. Google Play Movies & TV chosen
    Google Play Movies & TV was Google’s digital service for buying, renting, and streaming movies and television shows across Android, web, and compatible devices.
  • B. FilmRise
    FilmRise is an independent film and television distribution company known for acquiring and releasing a wide range of indie features, documentaries, and classic content across digital and traditional platforms.
  • C. FilmFour
    FilmFour is a British film production company and former television channel associated with Channel 4, known for backing distinctive independent and arthouse films.
  • D. FilmDistrict
    FilmDistrict was an American film distribution company known for releasing mid-budget genre and independent films in the early 2010s.
  • E. Flix
    Flix is one of the official cartoon mascots created to represent and promote the UEFA Euro 2008 football championship.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb94d6808819080997df30119e71e completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546e710c8190a6b9523b77f6c893 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:15 p.m.