Triple

T10676967
Position Surface form Disambiguated ID Type / Status
Subject 8 Million Ways to Die E251644 entity
Predicate distributor P1951 FINISHED
Object Tri-Star Pictures E854503 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: Tri-Star Pictures | Statement: [8 Million Ways to Die, distributor, Tri-Star Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tri-Star Pictures
Context triple: [8 Million Ways to Die, distributor, Tri-Star Pictures]
  • A. Tri-Star Pictures chosen
    Tri-Star Pictures is an American film production and distribution company known for releasing a wide range of Hollywood movies since the 1980s.
  • B. Monumental Pictures
    Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
  • C. Monumental Pictures
    Monumental Pictures is the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
  • D. Monumental Pictures
    Monumental Pictures is a British film and television production company known for producing high-profile dramas such as the period series "Harlots."
  • E. Palace Pictures
    Palace Pictures was a British independent film production and distribution company known for backing influential and unconventional films in the 1980s and early 1990s.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb9563908190a69cf4bd2c24fd2f completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998bfc27c8190a9d3e77fbe544a6d completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:09 p.m.