Triple

T7524016
Position Surface form Disambiguated ID Type / Status
Subject Ma Sicong E177845 entity
Predicate givenName P17 FINISHED
Object Sicong
Sicong is a given name most notably associated with Ma Sicong, a prominent 20th-century Chinese composer and violinist.
E670796 NE FINISHED

How this triple was built (4 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: Sicong | Statement: [Ma Sicong, givenName, Sicong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sicong
Context triple: [Ma Sicong, givenName, Sicong]
  • A. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • B. Liguo
    Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
  • C. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • D. Chongxi
    Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
  • E. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sicong
Triple: [Ma Sicong, givenName, Sicong]
Generated description
Sicong is a given name most notably associated with Ma Sicong, a prominent 20th-century Chinese composer and violinist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sicong
Target entity description: Sicong is a given name most notably associated with Ma Sicong, a prominent 20th-century Chinese composer and violinist.
  • A. Ronglu
    Ronglu was a high-ranking Qing dynasty general and statesman who played a key role in military and political affairs during the late imperial period, including the Boxer Rebellion.
  • B. Liguo
    Liguo is a Chinese given name commonly used for males and borne by various individuals across different fields.
  • C. Qichao
    Qichao is the given name of Liang Qichao, a prominent late Qing and early Republican Chinese scholar, journalist, and reformist thinker.
  • D. Chongxi
    Chongxi is the given name of Bai Chongxi, a prominent Chinese Muslim general and political figure of the Republic of China.
  • E. Muzong
    Muzong is the temple name of the Longqing Emperor, a Ming dynasty ruler of China who reigned from 1567 to 1572.
  • F. None of above. chosen

Provenance (5 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c61b508190b582f54ecbb387e3 completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84631e6bc819099b3a7819c3ae9a7 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c8471e50ec8190b3d9e9fa5212cbac completed March 28, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c8478782388190bb0e86bfb455750b completed March 28, 2026, 9:26 p.m.
Created at: March 27, 2026, 3:46 p.m.