Triple

T5419764
Position Surface form Disambiguated ID Type / Status
Subject Wei Lihuang E121218 entity
Predicate familyName P18 FINISHED
Object Wei
Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
 E519903 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: Wei | Statement: [Wei Lihuang, familyName, Wei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wei
Context triple: [Wei Lihuang, familyName, Wei]
  • A. Wisen
    Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
  • B. Wem
    Wem is a small market town and civil parish in the county of Shropshire, England.
  • C. Wil
    Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • 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: Wei
Triple: [Wei Lihuang, familyName, Wei]
Generated description
Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wei
Target entity description: Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • A. Wisen
    Wisen is a small municipality in the canton of Solothurn in Switzerland, situated in a rural, hilly region near the border with the canton of Basel-Landschaft.
  • B. Wem
    Wem is a small market town and civil parish in the county of Shropshire, England.
  • C. Wil
    Wil is a common shortened form of the given name Willem, often used as an informal or familiar nickname.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. Lee
    Lee is a residential district in southeast London known for its suburban character, green spaces, and Victorian and Edwardian housing.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e8f1cc81908b997f8a417697c0 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ab152248190847686ff42ac810c completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3b72f1fc8190a2fbc516cf75abdb completed March 22, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69bf3f44fdd08190bb9ba0e10e4410af completed March 22, 2026, 1 a.m.
Created at: March 20, 2026, 2:05 p.m.