Triple

T8681630
Position Surface form Disambiguated ID Type / Status
Subject Feng E206051 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Foong
Foong is a variant transliteration of the Chinese surname "Feng," commonly used in Southeast Asian contexts.
 E751167 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: Foong | Statement: [Feng, hasVariantTransliteration, Foong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foong
Context triple: [Feng, hasVariantTransliteration, Foong]
  • A. Giha
    Giha is an alternate name for the Ha language, a Bantu language spoken primarily in western Tanzania.
  • B. Fumei
    Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
  • C. Fuwa
    Fuwa are the five official mascots of the 2008 Beijing Olympic Games, each representing a different color of the Olympic rings and elements of Chinese culture and symbolism.
  • D. Fagatogo
    Fagatogo is a coastal village on the island of Tutuila in American Samoa that serves as the territory’s main governmental and commercial center.
  • E. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • 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: Foong
Triple: [Feng, hasVariantTransliteration, Foong]
Generated description
Foong is a variant transliteration of the Chinese surname "Feng," commonly used in Southeast Asian contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foong
Target entity description: Foong is a variant transliteration of the Chinese surname "Feng," commonly used in Southeast Asian contexts.
  • A. Giha
    Giha is an alternate name for the Ha language, a Bantu language spoken primarily in western Tanzania.
  • B. Fumei
    Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
  • C. Fuwa
    Fuwa are the five official mascots of the 2008 Beijing Olympic Games, each representing a different color of the Olympic rings and elements of Chinese culture and symbolism.
  • D. Fagatogo
    Fagatogo is a coastal village on the island of Tutuila in American Samoa that serves as the territory’s main governmental and commercial center.
  • E. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae6d19c8190be003f7901c0468d completed March 31, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b9fb848190b7126f8f6a1ba76f completed April 2, 2026, 10:54 p.m.
NEDg Description generation batch_69cef521010081908815779c0bd2aac9 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef727ea088190bf40eaf5424ae864 completed April 2, 2026, 11:09 p.m.
Created at: March 30, 2026, 6:32 p.m.