Triple

T9046893
Position Surface form Disambiguated ID Type / Status
Subject Ding Ling E216775 entity
Predicate alsoKnownAs P39 FINISHED
Object Jiang Bingzhi E823063 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: Jiang Bingzhi | Statement: [Ding Ling, alsoKnownAs, Jiang Bingzhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jiang Bingzhi
Context triple: [Ding Ling, alsoKnownAs, Jiang Bingzhi]
  • A. Jiang Bingzhi chosen
    Jiang Bingzhi is the birth name of Ding Ling, a prominent 20th-century Chinese writer known for her influential leftist literature and feminist themes.
  • B. Zhao Bingjun
    Zhao Bingjun was an early Republican Chinese politician who served as a key government leader during the formative years of the Republic of China.
  • C. Zhu Zhixin
    Zhu Zhixin was a prominent early 20th-century Chinese revolutionary, writer, and theorist who played a key ideological role in the movement to overthrow the Qing dynasty and promote republicanism.
  • D. Jiang Baili
    Jiang Baili was a prominent early 20th-century Chinese military strategist and reformer who played a key role in modernizing China's armed forces and influencing Republican-era military thought.
  • E. Lu Yanzhi
    Lu Yanzhi was a Chinese architect best known for designing the monumental Sun Yat-sen Mausoleum in Nanjing.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b4e4b888190a425e29b193b506f completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d58be8a4819088c419888a879e3e completed April 5, 2026, 3:22 a.m.
Created at: March 30, 2026, 7:09 p.m.