Triple

T9769410
Position Surface form Disambiguated ID Type / Status
Subject Li Zongren E237081 entity
Predicate givenName P17 FINISHED
Object Zongren E237081 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: Zongren | Statement: [Li Zongren, givenName, Zongren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zongren
Context triple: [Li Zongren, givenName, Zongren]
  • A. Zongren chosen
    Zongren is the given name of Li Zongren, a prominent Chinese military commander and political leader of the early to mid-20th century.
  • B. Hongzhang
    Hongzhang is the given name of Li Hongzhang, a prominent late Qing dynasty Chinese statesman, diplomat, and military leader.
  • C. Zhenxun
    Zhenxun was an ancient Chinese city traditionally regarded as one of the principal political centers of the Xia dynasty.
  • D. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • E. Zhenyuan
    Zhenyuan was a regnal era of the Tang dynasty marked by Emperor Dezong’s efforts to stabilize imperial authority and restore central control after periods of rebellion and fragmentation.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f0c64c81908f3435dd49c0218b completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd05f2588190ab413d26342aa70f completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:26 p.m.