Triple

T19559844
Position Surface form Disambiguated ID Type / Status
Subject Paul Schulze E489415 entity
Predicate notableWork P4 FINISHED
Object K-PAX E399707 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: K-PAX | Statement: [Paul Schulze, notableWork, K-PAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-PAX
Context triple: [Paul Schulze, notableWork, K-PAX]
  • A. K-PAX chosen
    K-PAX is a science fiction drama film about a mysterious psychiatric patient who claims to be an alien from a distant planet, adapted from Gene Brewer’s novel of the same name.
  • B. eXistenZ
    eXistenZ is a 1999 science fiction body-horror film directed by David Cronenberg that explores virtual reality, identity, and bio-organic technology.
  • C. The Belko Experiment
    The Belko Experiment is a 2016 horror-thriller film about office workers forced into a deadly social experiment inside their sealed corporate building.
  • D. Vision of Paul
    Vision of Paul is an early Christian apocryphal text that narrates the apostle Paul’s guided tour of heaven and hell, depicting vivid scenes of the afterlife and divine judgment.
  • E. Zero K
    Zero K is a 2016 novel by Don DeLillo that explores themes of mortality, technology, and cryonics through a meditative, dystopian narrative.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f731ae48190ade295c15db7f8ed completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0757825ddc81908c08b061a9ec0984 completed May 15, 2026, 5:27 p.m.
Created at: April 10, 2026, 1:42 p.m.