Triple

T4873100
Position Surface form Disambiguated ID Type / Status
Subject Fu Bingchang E109132 entity
Predicate givenName P17 FINISHED
Object Bingchang
Bingchang is a Chinese given name, notably borne by diplomat and politician Fu Bingchang.
 E476692 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: Bingchang | Statement: [Fu Bingchang, givenName, Bingchang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bingchang
Context triple: [Fu Bingchang, givenName, Bingchang]
  • A. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • B. Xiaochang
    Xiaochang is a county in Hubei Province, China, known historically as a rural mission and teaching post where figures like Eric Liddell worked.
  • C. Huangcun
    Huangcun is a town in Beijing, China, that serves as the administrative and commercial center of the city's southern Daxing District.
  • D. Changyi
    Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
  • E. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • 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: Bingchang
Triple: [Fu Bingchang, givenName, Bingchang]
Generated description
Bingchang is a Chinese given name, notably borne by diplomat and politician Fu Bingchang.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bingchang
Target entity description: Bingchang is a Chinese given name, notably borne by diplomat and politician Fu Bingchang.
  • A. Bocheng
    Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
  • B. Xiaochang
    Xiaochang is a county in Hubei Province, China, known historically as a rural mission and teaching post where figures like Eric Liddell worked.
  • C. Huangcun
    Huangcun is a town in Beijing, China, that serves as the administrative and commercial center of the city's southern Daxing District.
  • D. Changyi
    Changyi is a county-level coastal city in northeastern Shandong Province, China, known for its manufacturing industries and location on the Bohai Sea.
  • E. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9fa0b08190ab1fc7ec395dca37 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67f5b51c8190a8114450084d2b13 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be69ed67f4819094656680ac3a174a completed March 21, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69be6a368ca88190b57fdf7c8c9f4e60 completed March 21, 2026, 9:51 a.m.
Created at: March 20, 2026, 1:27 p.m.