Triple

T7867348
Position Surface form Disambiguated ID Type / Status
Subject Lu Muzhen E182650 entity
Predicate name P16 FINISHED
Object Lu Muzhen E182650 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: Lu Muzhen | Statement: [Lu Muzhen, name, Lu Muzhen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lu Muzhen
Context triple: [Lu Muzhen, name, Lu Muzhen]
  • A. Lu Muzhen chosen
    Lu Muzhen was the first wife of Chinese revolutionary leader Sun Yat-sen, known primarily for her connection to his early life and career.
  • B. Mao Yuanxin
    Mao Yuanxin is a Chinese political figure known as Mao Zedong’s nephew who briefly held influential positions during the final years of the Cultural Revolution.
  • C. Mao Buyi
    Mao Buyi is a Chinese singer-songwriter known for his introspective lyrics and breakout success after winning the talent show "The Coming One."
  • D. Liu Cunhou
    Liu Cunhou was a Chinese military officer and warlord associated with the Yunnan clique during the early Republican era.
  • E. Liu Bingzhong
    Liu Bingzhong was a prominent Yuan dynasty scholar-official, architect, and urban planner best known for helping design the Mongol capital that became Beijing.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb38464274819080f182b53783fa84 completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3394b5408190a3d540b5eede456e completed April 1, 2026, 3:02 p.m.
Created at: March 30, 2026, 4:55 p.m.