Triple

T17748990
Position Surface form Disambiguated ID Type / Status
Subject Red Sorghum E443064 entity
Predicate starring P1507 FINISHED
Object Jiang Wen 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: Jiang Wen | Statement: [Red Sorghum, starring, Jiang Wen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiang Wen
Context triple: [Red Sorghum, starring, Jiang Wen]
  • A. Jiang Wen chosen
    Jiang Wen is a renowned Chinese actor and filmmaker known for critically acclaimed films such as "In the Heat of the Sun" and "Let the Bullets Fly."
  • B. Zhang Jigang
    Zhang Jigang is a renowned Chinese choreographer and director best known internationally for co-directing and staging large-scale performances, including the 2008 Beijing Olympics ceremonies.
  • C. Lu Jun
    Lu Jun is a family member of Lu Lingzi, the Chinese graduate student who was killed in the 2013 Boston Marathon bombing.
  • D. Chang Chen
    Chang Chen is a Taiwanese actor known for his roles in acclaimed films such as "Crouching Tiger, Hidden Dragon," "Happy Together," and various international productions.
  • E. Chen Daoming
    Chen Daoming is a renowned Chinese actor acclaimed for his nuanced performances in film and television, often portraying complex historical and intellectual figures.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad46a50819089c87f74efe3c7ca completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:10 a.m.