Triple

T18181852
Position Surface form Disambiguated ID Type / Status
Subject Mia Wasikowska E435305 entity
Predicate notableWork P4 FINISHED
Object Crimson Peak 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: Crimson Peak | Statement: [Mia Wasikowska, notableWork, Crimson Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crimson Peak
Context triple: [Mia Wasikowska, notableWork, Crimson Peak]
  • A. Crimson Peak chosen
    Crimson Peak is a 2015 gothic romance horror film directed by Guillermo del Toro, known for its lavish Victorian production design, ghostly atmosphere, and twisted family drama.
  • B. Saint Maud
    Saint Maud is a 2019 British psychological horror film that follows a deeply religious hospice nurse whose obsessive faith and growing mental instability lead to disturbing and supernatural-seeming events.
  • C. Lootera
    Lootera is a 2013 Indian period romantic drama film directed by Vikramaditya Motwane, loosely inspired by O. Henry’s short story "The Last Leaf."
  • D. Poor Things
    Poor Things is a 2023 surreal black comedy fantasy film directed by Yorgos Lanthimos, in which Emma Stone stars as a resurrected woman undergoing a bizarre journey of self-discovery.
  • E. Poor Things
    Poor Things is a 1992 novel by Scottish writer Alasdair Gray that blends gothic fantasy, political satire, and metafiction in a reimagining of the Frankenstein story set in Victorian Glasgow.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dffb3bc88190a627be9c444d5c7d completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.