Triple

T6557822
Position Surface form Disambiguated ID Type / Status
Subject Emily Jean Stone E152495 entity
Predicate notableWork P4 FINISHED
Object Poor Things E142424 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: Poor Things | Statement: [Emily Jean Stone, notableWork, Poor Things]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poor Things
Context triple: [Emily Jean Stone, notableWork, Poor Things]
  • A. Poor Things chosen
    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.
  • B. Crimson Peak
    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.
  • C. Gothika
    Gothika is a 2003 supernatural psychological horror film starring Halle Berry as a criminal psychologist who becomes a patient in her own mental institution after a mysterious, possibly paranormal incident.
  • D. Vivarium
    Vivarium is a 2019 science fiction psychological horror film in which a couple becomes trapped in a mysterious, labyrinthine suburban housing development.
  • E. Marwencol
    Marwencol is a 2010 documentary film that follows Mark Hogancamp, a man who copes with trauma by building and photographing an intricate World War II-era miniature town in his backyard.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1eb0888190a67b850ac2bca79c completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb8bae88819089cff70fa1101a39 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:52 p.m.