Triple

T14527532
Position Surface form Disambiguated ID Type / Status
Subject Fa Li E340817 entity
Predicate appearsWith P4540 FINISHED
Object Fa Zhou E342387 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: Fa Zhou | Statement: [Fa Li, appearsWith, Fa Zhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fa Zhou
Context triple: [Fa Li, appearsWith, Fa Zhou]
  • A. Fa Zhou chosen
    Fa Zhou is Mulan’s elderly, honorable father and a former soldier whose injury and devotion to family drive much of the film’s emotional conflict.
  • B. Zhou
    Zhou is a common Chinese surname borne by many notable figures in Chinese history and politics.
  • C. Cheng Tang
    Cheng Tang was the founding king of China's Shang dynasty, renowned for toppling the Xia dynasty and establishing a new ruling order.
  • D. Xi Xia
    Xi Xia is another name for the Western Xia dynasty, a medieval Tangut-ruled empire that controlled parts of northwestern China from the 11th to early 13th centuries before being conquered by the Mongols.
  • E. Li Zhao
    Li Zhao was the wife of former Chinese Communist Party General Secretary Hu Yaobang and is known primarily for her role as his spouse during his prominent political career.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea051bc608190ad4d516c5e7bca43 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab24f8c8190bb0e68ebb854844d completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.