Triple

T20968034
Position Surface form Disambiguated ID Type / Status
Subject Chen Kaige E516420 entity
Predicate directed P7373 FINISHED
Object Caught in the Web 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: Caught in the Web | Statement: [Chen Kaige, directed, Caught in the Web]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caught in the Web
Context triple: [Chen Kaige, directed, Caught in the Web]
  • A. Caught in the Web chosen
    Caught in the Web is a 2012 Chinese drama film directed by Chen Kaige that explores the impact of internet shaming and media sensationalism on a young woman’s life.
  • B. A Tangled Web
    A Tangled Web is a humorous and romantic novel by Lucy Maud Montgomery that follows the intertwined lives and secrets of an extended Canadian family competing to inherit a prized heirloom.
  • C. The Woman in the Web
    The Woman in the Web is a silent-era American film serial, produced in the 1910s, known for its suspenseful, chapter-based storytelling.
  • D. The Crooked Web
    The Crooked Web is a 1955 American film noir crime drama featuring Frank Lovejoy in a tense story of deception and double-crosses.
  • E. The Spider's Web
    The Spider's Web is a 1989 German drama film adapted from Joseph Roth’s novel, notable for its portrayal of rising right-wing extremism in post-World War I Germany.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb9d6b548190af7214ad2468cfbf completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:39 p.m.