Triple

T19688330
Position Surface form Disambiguated ID Type / Status
Subject Green Gang E472769 entity
Predicate hasAlternativeName P39 FINISHED
Object Ch’ing Pang
Ch’ing Pang is an alternative name for the Green Gang, a powerful Chinese secret society and criminal organization that was especially influential in Shanghai during the early 20th century.
 E1389984 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: Ch’ing Pang | Statement: [Green Gang, hasAlternativeName, Ch’ing Pang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ch’ing Pang
Context triple: [Green Gang, hasAlternativeName, Ch’ing Pang]
  • A. Chow Po-chung
    Chow Po-chung is a Hong Kong political theorist and academic known for his work on civic education, liberalism, and public policy.
  • B. Chien-Po
    Chien-Po is a gentle, large, and good-natured warrior from Disney’s Mulan series, known for his calm demeanor and physical strength.
  • C. Chi Cheng
    Chi Cheng was an American musician best known as the original bassist for the alternative metal band Deftones.
  • D. Wu Ta-You
    Wu Ta-You was a prominent Chinese theoretical physicist often regarded as the father of modern Chinese physics.
  • E. Kwai Tsing
    Kwai Tsing is an urban district in Hong Kong known for its major container port facilities and mixed industrial-residential areas.
  • 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: Ch’ing Pang
Triple: [Green Gang, hasAlternativeName, Ch’ing Pang]
Generated description
Ch’ing Pang is an alternative name for the Green Gang, a powerful Chinese secret society and criminal organization that was especially influential in Shanghai during the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ch’ing Pang
Target entity description: Ch’ing Pang is an alternative name for the Green Gang, a powerful Chinese secret society and criminal organization that was especially influential in Shanghai during the early 20th century.
  • A. Chow Po-chung
    Chow Po-chung is a Hong Kong political theorist and academic known for his work on civic education, liberalism, and public policy.
  • B. Chien-Po
    Chien-Po is a gentle, large, and good-natured warrior from Disney’s Mulan series, known for his calm demeanor and physical strength.
  • C. Chi Cheng
    Chi Cheng was an American musician best known as the original bassist for the alternative metal band Deftones.
  • D. Wu Ta-You
    Wu Ta-You was a prominent Chinese theoretical physicist often regarded as the father of modern Chinese physics.
  • E. Kwai Tsing
    Kwai Tsing is an urban district in Hong Kong known for its major container port facilities and mixed industrial-residential areas.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6420e5b788190a63ff6b83383b0e8 completed April 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787cce7248190bbec313b04d7a64e completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a078a9e163481908db5749a53b13305 completed May 15, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_6a078b0c6ae88190a8a17a7c1381ae41 completed May 15, 2026, 9:07 p.m.
Created at: April 10, 2026, 1:45 p.m.