Triple

T4459841
Position Surface form Disambiguated ID Type / Status
Subject The Glory of Tang Dynasty E98224 entity
Predicate starring P1507 FINISHED
Object Jing Tian E17770 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: Jing Tian | Statement: [The Glory of Tang Dynasty, starring, Jing Tian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jing Tian
Context triple: [The Glory of Tang Dynasty, starring, Jing Tian]
  • A. Jing Tian chosen
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • B. Li Jingxi
    Li Jingxi was a Chinese politician and statesman who briefly served as premier during the early years of the Republic of China.
  • C. Jun Xia
    Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
  • D. Lu Lingjia
    Lu Lingjia is a Chinese individual known primarily as a relative of Lu Lingzi, one of the victims of the 2013 Boston Marathon bombing.
  • E. Zhu Junyi
    Zhu Junyi is a former senior Chinese police and security official best known for his involvement in major corruption scandals.
  • 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_69b3567184f481908a2787e4ac9bb345 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69be819fa79481908b35c424bff0c939 completed March 21, 2026, 11:31 a.m.
Created at: March 12, 2026, 11:33 p.m.