Triple

T14339372
Position Surface form Disambiguated ID Type / Status
Subject Zhang Yitang E355552 entity
Predicate givenName P17 FINISHED
Object Yitang E355552 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: Yitang | Statement: [Zhang Yitang, givenName, Yitang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yitang
Context triple: [Zhang Yitang, givenName, Yitang]
  • A. Chen Jingrun
    Chen Jingrun was a Chinese mathematician renowned for his groundbreaking work in number theory, particularly his significant contributions toward proving the Goldbach conjecture.
  • B. Wang Yitang
    Wang Yitang was a Chinese politician and warlord-era figure associated with the Anhui clique during the early Republic of China.
  • C. Zhang Yitang chosen
    Zhang Yitang is a Chinese-American mathematician renowned for his groundbreaking work on bounded gaps between prime numbers, which significantly advanced number theory.
  • D. Wei-ming Tu
    Wei-ming Tu is a prominent Chinese philosopher and scholar of Confucianism known for his influential work on New Confucian thought and comparative philosophy.
  • E. Langche Zeng
    Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8674c0819091dfbe9c50778c5e completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469bc538819099ed5b7061cf140d completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.