Triple

T240107
Position Surface form Disambiguated ID Type / Status
Subject Xuan Thuy E4911 entity
Predicate familyName P18 FINISHED
Object Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
E31366 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: Xuan | Statement: [Xuan Thuy, familyName, Xuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xuan
Context triple: [Xuan Thuy, familyName, Xuan]
  • A. Yao
    Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
  • B. Xue Yue
    Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • C. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • D. Kun Huang
    Kun Huang was a prominent Chinese physicist and crystallographer known for his influential work in solid-state physics and lattice dynamics.
  • E. Wuling
    Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
  • 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: Xuan
Triple: [Xuan Thuy, familyName, Xuan]
Generated description
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xuan
Target entity description: Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • A. Yao
    Yao is a city in Osaka Prefecture, Japan, known as an industrial and residential hub within the Kansai region.
  • B. Xue Yue
    Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
  • C. Jing Tian
    Jing Tian is a Chinese actress known for her roles in both Chinese cinema and Hollywood blockbusters such as "Pacific Rim: Uprising" and "The Great Wall."
  • D. Kun Huang
    Kun Huang was a prominent Chinese physicist and crystallographer known for his influential work in solid-state physics and lattice dynamics.
  • E. Wuling
    Wuling is a Chinese automotive marque known for producing affordable compact cars and microvans, marketed through a joint venture involving General Motors.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25ceaecdc81909e9ff49cb6a4e02a completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36960563881908ef098239cd87291 completed Feb. 28, 2026, 10:17 p.m.
NEDg Description generation batch_69a369d2b56c8190a6381b2da3e42e18 completed Feb. 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69a36a9f31408190b8f0e8273ff3a298 completed Feb. 28, 2026, 10:22 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.