Triple

T4295603
Position Surface form Disambiguated ID Type / Status
Subject Li Yunhe E99703 entity
Predicate alsoKnownAs P39 FINISHED
Object Lan Ping E89918 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: Lan Ping | Statement: [Li Yunhe, alsoKnownAs, Lan Ping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lan Ping
Context triple: [Li Yunhe, alsoKnownAs, Lan Ping]
  • A. Lan Ping chosen
    Lan Ping was the stage name of Jiang Qing, a Chinese actress who later became a powerful and controversial political figure as Mao Zedong’s fourth wife and a leading member of the Gang of Four.
  • B. Ding Ling
    Ding Ling was a prominent 20th-century Chinese writer and feminist known for her revolutionary literature and involvement in leftist and Communist cultural movements.
  • C. Chen Yannian
    Chen Yannian was a prominent early Chinese communist revolutionary and activist, known for his leadership in the youth movement and his martyrdom in the struggle against warlord and Kuomintang repression.
  • D. Li Xiuzhen
    Li Xiuzhen was the wife of prominent Chinese military leader and politician Li Zongren, who served as acting president of the Republic of China in the mid-20th century.
  • E. Lan Ying Lin
    Lan Ying Lin is the protagonist of the work "Daughter of Shanghai," around whom the story’s central events and themes revolve.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35085b864819086cf726285384566 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c740c4a081909a63fb957f2926ae completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.