Triple

T5246162
Position Surface form Disambiguated ID Type / Status
Subject I Love You to Death E118463 entity
Predicate distributor P1951 FINISHED
Object Tri-Star Pictures E50654 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: [I Love You to Death, distributor, Tri-Star Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tri-Star Pictures
Context triple: [I Love You to Death, distributor, Tri-Star Pictures]
  • A. Monumental Pictures
    Monumental Pictures is a British film and television production company known for producing feature films such as the 2019 adaptation of "Cats."
  • B. Monumental Pictures
    Monumental Pictures is the fictional Hollywood film studio featured in the classic musical film "Singin' in the Rain."
  • C. TriStar Pictures chosen
    TriStar Pictures is an American film production and distribution studio known for releasing a wide range of popular Hollywood movies since the 1980s.
  • D. Academy Pictures
    Academy Pictures is a film production company best known for producing the 1973 British horror film "The Legend of Hell House."
  • E. RKO Radio Pictures
    RKO Radio Pictures was a major Hollywood film studio of the 1930s and 1940s, known for producing classic movies including landmark monster, musical, and film noir films.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b515edc8190a9db198d4eb1c4f6 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef832ae8481908a90faf66c1db631 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.