Triple

T8996113
Position Surface form Disambiguated ID Type / Status
Subject Matthew Robbins E214916 entity
Predicate notableWork P4 FINISHED
Object Crimson Peak E13894 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: Crimson Peak | Statement: [Matthew Robbins, notableWork, Crimson Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crimson Peak
Context triple: [Matthew Robbins, 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. 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."
  • C. 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.
  • D. Phantom Thread
    Phantom Thread is a 2017 period drama film directed by Paul Thomas Anderson, following a meticulous London dressmaker whose controlled life is disrupted by a young woman who becomes his muse and lover.
  • E. The Witch
    The Witch is a 2015 atmospheric horror film set in 17th-century New England that follows a Puritan family menaced by sinister forces in the wilderness.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d586c881909090b424f6fd036f completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.