Triple

T14567256
Position Surface form Disambiguated ID Type / Status
Subject Funny Games U.S. E341815 entity
Predicate distributor P1951 FINISHED
Object Warner Independent Pictures E317046 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: Warner Independent Pictures | Statement: [Funny Games U.S., distributor, Warner Independent Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warner Independent Pictures
Context triple: [Funny Games U.S., distributor, Warner Independent Pictures]
  • A. Warner Independent Pictures chosen
    Warner Independent Pictures was a specialty film division of Warner Bros. focused on producing and distributing independent and art-house films.
  • B. Gramercy Pictures
    Gramercy Pictures was an American film production and distribution company known for releasing acclaimed independent and specialty films in the 1990s.
  • C. Warner Sogefilms
    Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
  • D. Warnercolor
    Warnercolor was a mid-20th-century color motion picture process developed and used by Warner Bros. for many of its films.
  • E. Warner Bros. Pictures
    Warner Bros. Pictures is a major American film production and distribution studio known for releasing numerous blockbuster movies across a wide range of genres.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac669cc819083e05620b1e8c370 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.