Triple

T8558670
Position Surface form Disambiguated ID Type / Status
Subject Lyca Productions E202636 entity
Predicate hasBrand P1500 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: [Lyca Productions, hasBrand, Lyca Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyca Productions
Context triple: [Lyca Productions, hasBrand, 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. Lucamar Productions
    Lucamar Productions is a film and television production company co-founded by producer John DeLuca, known for collaborating on major Hollywood musical and family-oriented projects.
  • D. Siesta Productions
    Siesta Productions is a film and television production company known for its work on the fantasy series "Carnival Row."
  • E. Sikelia Productions
    Sikelia Productions is the film and television production company founded by director Martin Scorsese, known for backing many of his major projects.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9485dd88190bc2cf2adf39d48ee completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce894d82588190b558d5b2dc65eafe completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:20 p.m.