Triple

T17748715
Position Surface form Disambiguated ID Type / Status
Subject Terence Yin E443054 entity
Predicate familyName P18 FINISHED
Object Yin
Yin is a Chinese surname shared by many individuals of Chinese heritage across the world.
E191612 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: Yin | Statement: [Terence Yin, familyName, Yin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yin
Context triple: [Terence Yin, familyName, Yin]
  • A. Yin
    Yin was the last and most prominent capital city of China’s Shang dynasty, serving as its political and cultural center.
  • B. Ying
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • C. Yik-shun
    Yik-shun is the given name of Chan Yik-shun, a Hong Kong radio DJ and media personality better known as Sammy Chan.
  • D. K. Yin
    K. Yin is a technical contributor known for coauthoring IETF RFC 6145 on IP/ICMP translation between IPv4 and IPv6 networks.
  • E. Yangsheng
    Yangsheng is a traditional Chinese practice focused on nurturing life and cultivating health and longevity through balanced living, diet, exercise, and spiritual refinement.
  • 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: Yin
Triple: [Terence Yin, familyName, Yin]
Generated description
Yin is a Chinese surname shared by many individuals of Chinese heritage across the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yin
Target entity description: Yin is a Chinese surname shared by many individuals of Chinese heritage across the world.
  • A. Yin chosen
    Yin was the last and most prominent capital city of China’s Shang dynasty, serving as its political and cultural center.
  • B. Ying
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • C. Yik-shun
    Yik-shun is the given name of Chan Yik-shun, a Hong Kong radio DJ and media personality better known as Sammy Chan.
  • D. K. Yin
    K. Yin is a technical contributor known for coauthoring IETF RFC 6145 on IP/ICMP translation between IPv4 and IPv6 networks.
  • E. Yangsheng
    Yangsheng is a traditional Chinese practice focused on nurturing life and cultivating health and longevity through balanced living, diet, exercise, and spiritual refinement.
  • F. None of above.

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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad46a50819089c87f74efe3c7ca completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a024304d6cc819097666c7f3fd2fd07 completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a02458aaac88190b62258e1983100f4 completed May 11, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_6a02462830088190b036cca2840c287c completed May 11, 2026, 9:12 p.m.
Created at: April 10, 2026, 10:10 a.m.