Triple

T11923576
Position Surface form Disambiguated ID Type / Status
Subject Ding E283722 entity
Predicate hasNotableBearer P458 FINISHED
Object Ding Ling E216775 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: Ding Ling | Statement: [Ding, hasNotableBearer, Ding Ling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ding Ling
Context triple: [Ding, hasNotableBearer, Ding Ling]
  • A. Ding Ling chosen
    Ding Ling was a prominent 20th-century Chinese writer and feminist known for her revolutionary literature and involvement in leftist and Communist cultural movements.
  • B. Yao Ling
    Yao Ling is known as the former spouse of Ren Zhengfei, the founder of Chinese telecommunications giant Huawei.
  • C. Li Ling
    Li Ling was a Han dynasty military general best known for his ill-fated campaign against the Xiongnu and subsequent controversial surrender that sparked political turmoil in the Han court.
  • D. Lu Lingzi
    Lu Lingzi was a Chinese graduate student at Boston University who was killed in the 2013 Boston Marathon bombing.
  • E. Ching-ling
    Ching-ling is the given name of Soong Ching-ling, a prominent Chinese political figure and the widow of Sun Yat-sen.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e2fc648190a446c1917db1c7d9 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f44042cf1c81909de44acfe1202482 completed May 1, 2026, 5:55 a.m.
Created at: April 8, 2026, 9:45 p.m.