Triple

T19503340
Position Surface form Disambiguated ID Type / Status
Subject Squid Game episode 8 E487956 entity
Predicate productionCompany P490 FINISHED
Object Siren 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: Siren Pictures | Statement: [Squid Game episode 8, productionCompany, Siren Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siren Pictures
Context triple: [Squid Game episode 8, productionCompany, Siren Pictures]
  • A. Siren Pictures chosen
    Siren Pictures is a South Korean television and film production company best known internationally for producing the hit Netflix series "Squid Game."
  • B. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • C. Sycamore Pictures
    Sycamore Pictures is an American film production company known for financing and producing independent and mid-budget feature films.
  • D. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • E. Rogue Pictures
    Rogue Pictures is an American film production and distribution company known for releasing genre and mid-budget movies, particularly in the horror and thriller categories.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6350f8d888190a4809c83522933d4 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.