Triple

T8803185
Position Surface form Disambiguated ID Type / Status
Subject Pernilla August E209458 entity
Predicate directed P7373 FINISHED
Object Beyond E746358 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: Beyond | Statement: [Pernilla August, directed, Beyond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beyond
Context triple: [Pernilla August, directed, Beyond]
  • A. Beyond
    "Beyond" is a short story by William Faulkner that explores themes of death, the afterlife, and human guilt through a lawyer's surreal journey following his son's death.
  • B. Beyond chosen
    "Beyond" is a Swedish drama film featuring Noomi Rapace in a powerful leading role that explores family trauma and reconciliation.
  • C. Beyond Reality
    Beyond Reality is a 1990s science-fiction television series that follows two parapsychology professors investigating supernatural phenomena.
  • D. Into the Badlands
    Into the Badlands is a post-apocalyptic martial arts television series known for its stylized fight choreography and feudal, dystopian setting.
  • E. In the World
    "In the World" is a novel by Russian writer Maksim Gorky that continues the semi-autobiographical story of a young boy’s harsh upbringing and moral awakening in late 19th-century Russia.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbb5b108190a9f889d40aa20521 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf8921a13081909346b97c024110b6 completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:44 p.m.