Triple

T35693376
Position Surface form Disambiguated ID Type / Status
Subject Chen Boda E1031365 entity
Predicate birthName P65 FINISHED
Object Chen Jianxiang
Chen Jianxiang, better known as Chen Boda, was a prominent Chinese Communist theorist and Mao Zedong’s chief political aide and propagandist during the early years of the People’s Republic of China.
E2235780 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: Chen Jianxiang | Statement: [Chen Boda, birthName, Chen Jianxiang]
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: Chen Jianxiang
Triple: [Chen Boda, birthName, Chen Jianxiang]
Generated description
Chen Jianxiang, better known as Chen Boda, was a prominent Chinese Communist theorist and Mao Zedong’s chief political aide and propagandist during the early years of the People’s Republic of China.

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_69f76e0c73ec819080ab60a9e2f5f1f6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a07edd148190b9f80bd6700ad303 completed May 3, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40afc52bbc81909f068dbb4a16dd89 completed June 28, 2026, 5:23 a.m.
NEDg Description generation batch_6a40b0813c188190b68fcf732f0406e3 completed June 28, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_6a40b10e1c7881909c83962729029f0a completed June 28, 2026, 5:28 a.m.
Created at: May 3, 2026, 4:05 p.m.