Triple

T1785755
Position Surface form Disambiguated ID Type / Status
Subject Elle E39387 entity
Predicate hasEdition P35 FINISHED
Object Elle Taiwan
Elle Taiwan is the Taiwanese edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Taiwanese readers and culture.
E198235 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: Elle Taiwan | Statement: [Elle, hasEdition, Elle Taiwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elle Taiwan
Context triple: [Elle, hasEdition, Elle Taiwan]
  • A. Taif
    Taif is a city in western Saudi Arabia known for its cool climate, rose cultivation, and historical significance as a summer resort and cultural center.
  • B. Wei-kuo
    Wei-kuo is the given name of Chiang Wei-kuo, a Chinese military officer and adopted son of Chiang Kai-shek who served in both German and later Republic of China forces.
  • C. Mei-ling
    Mei-ling is the given name of Soong Mei-ling, the influential 20th-century Chinese political figure and wife of Chiang Kai-shek.
  • D. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • E. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • 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: Elle Taiwan
Triple: [Elle, hasEdition, Elle Taiwan]
Generated description
Elle Taiwan is the Taiwanese edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Taiwanese readers and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elle Taiwan
Target entity description: Elle Taiwan is the Taiwanese edition of the international fashion and lifestyle magazine Elle, featuring content tailored to Taiwanese readers and culture.
  • A. Taif
    Taif is a city in western Saudi Arabia known for its cool climate, rose cultivation, and historical significance as a summer resort and cultural center.
  • B. Wei-kuo
    Wei-kuo is the given name of Chiang Wei-kuo, a Chinese military officer and adopted son of Chiang Kai-shek who served in both German and later Republic of China forces.
  • C. Mei-ling
    Mei-ling is the given name of Soong Mei-ling, the influential 20th-century Chinese political figure and wife of Chiang Kai-shek.
  • D. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • E. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650d304481908ad9bff3eadf7da6 completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada9a476448190b072361fe4b41537 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab05cf6c81909f4713664f508ad9 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeb20390819098bad8951ec00d00 completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.