Triple

T20827807
Position Surface form Disambiguated ID Type / Status
Subject Squid Game S1E5 E512749 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 S1E5, productionCompany, Siren Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siren Pictures
Context triple: [Squid Game S1E5, 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. Sirens Pictures
    Sirens Pictures is a South Korean film and television production company known for producing contemporary Korean dramas and screen content.
  • C. 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.
  • D. Sycamore Pictures
    Sycamore Pictures is an American film production company known for financing and producing independent and mid-budget feature films.
  • E. 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."
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c31e387481909fcf323f97019803 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:42 p.m.