Triple

T12137261
Position Surface form Disambiguated ID Type / Status
Subject Ruchang E289090 entity
Predicate notableBearer P458 FINISHED
Object Ding Ruchang E62836 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 Ruchang | Statement: [Ruchang, notableBearer, Ding Ruchang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ding Ruchang
Context triple: [Ruchang, notableBearer, Ding Ruchang]
  • A. Ding Ruchang chosen
    Ding Ruchang was a late Qing dynasty Chinese naval officer best known for leading the Beiyang Fleet during the First Sino-Japanese War.
  • B. Ding Guangen
    Ding Guangen was a senior Chinese Communist Party politician who served on the Politburo and headed the party’s Propaganda Department in the 1990s.
  • C. Ding Shisun
    Ding Shisun was a prominent Chinese mathematician and reformist educator who served as president of Peking University and later as chairman of the China Democratic League.
  • D. Peng Yuchang
    Peng Yuchang is a Chinese actor and singer known for his roles in popular youth films and television dramas.
  • E. Chen Jitang
    Chen Jitang was a prominent Chinese warlord and Nationalist general who controlled much of Guangdong in the 1930s and played a key role in regional politics during the Republic of China era.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158dd00c819082651891898b91bb completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c60a7d081908e402c15b7e38596 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:49 p.m.