Triple

T4459907
Position Surface form Disambiguated ID Type / Status
Subject Zhang Yimou E98225 entity
Predicate directed P7373 FINISHED
Object Shadow E443077 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: Shadow | Statement: [Zhang Yimou, directed, Shadow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shadow
Context triple: [Zhang Yimou, directed, Shadow]
  • A. Shadow
    "Shadow" is a pop-rock song by Ashlee Simpson that explores themes of identity and living in the shadow of a more famous sibling.
  • B. Shadow chosen
    "Shadow" is a visually striking 2018 Chinese wuxia film by director Zhang Yimou, known for its stylized use of monochrome palettes and intricate political intrigue.
  • C. Switch
    Switch is a British DJ and record producer known for his influential work in electronic and pop music, including collaborations with major artists like Beyoncé and M.I.A.
  • D. Strife
    Strife is a 1909 stage play by John Galsworthy that portrays a bitter industrial conflict between capital and labor, highlighting the human cost of class struggle.
  • E. Shadows
    Shadows is a groundbreaking 1959 American independent drama film by John Cassavetes, celebrated for its improvisational style and candid exploration of race and relationships in New York City.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35673337c8190b923159791ec27e3 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6376c8e74819087aa2ff3e4429674 completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:33 p.m.