Triple

T6969497
Position Surface form Disambiguated ID Type / Status
Subject RRR E161566 entity
Predicate distributor P1951 FINISHED
Object Lyca Productions E202636 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: Lyca Productions | Statement: [RRR, distributor, Lyca Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyca Productions
Context triple: [RRR, distributor, Lyca Productions]
  • A. Lyca Productions chosen
    Lyca Productions is a prominent Indian film production and distribution company best known for financing big-budget Tamil-language movies and collaborations with leading South Indian filmmakers and stars.
  • B. Libra Productions
    Libra Productions is a film and television production company known for developing and producing screen content such as the project titled "Suddenly."
  • C. Sikelia Productions
    Sikelia Productions is the film and television production company founded by director Martin Scorsese, known for backing many of his major projects.
  • D. Daystar Productions
    Daystar Productions was the independent television production company best known for creating and producing the original 1963 science fiction anthology series "The Outer Limits."
  • E. Hoya Productions
    Hoya Productions is a film production company best known for its involvement in creating the landmark horror movie "The Exorcist."
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ada248190941ddf3b13cf3a74 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.