Triple

T20390581
Position Surface form Disambiguated ID Type / Status
Subject Narrow Margin E498072 entity
Predicate distributedBy P1951 FINISHED
Object Tri-Star Pictures NE NERFINISHED

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: [Narrow Margin, distributedBy, Tri-Star Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tri-Star Pictures
Context triple: [Narrow Margin, distributedBy, 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 the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
  • C. Monumental Pictures
    Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
  • 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 (2 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790f8d9c819093038f6bb6f47a92 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.