Triple

T14720632
Position Surface form Disambiguated ID Type / Status
Subject The World (novel) E345802 entity
Predicate hasChineseTitle P51900 FINISHED
Object 人世间 E345798 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: 人世间 | Statement: [The World (novel), hasChineseTitle, 人世间]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 人世间
Context triple: [The World (novel), hasChineseTitle, 人世间]
  • A. The World (《人世间》) chosen
    The World (《人世间》) is a widely acclaimed contemporary Chinese novel that chronicles the lives and struggles of ordinary people across several decades of social and political change in China.
  • B. Ordinary World
    "Ordinary World" is a song by Green Day from their 2016 album *Revolution Radio*, known for its reflective, melodic style and introspective lyrics.
  • C. Ordinary World
    "Ordinary World" is a 1993 power ballad by British band Duran Duran that marked their major comeback and became one of their signature songs.
  • D. 归来
    归来 is a 2014 Chinese drama film directed by Zhang Yimou, adapted from Yan Geling’s novel about a man returning home after the Cultural Revolution to a wife who no longer remembers him.
  • E. 皇室
    皇室 refers to the Imperial House of Japan, the hereditary monarchy that constitutes the world’s oldest continuing royal dynasty.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25d56fc8190871873ca55d49272 completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0957bb081908f1f382f3be8ec20 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.