Triple
T8681631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feng |
E206051
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object |
Fong
Fong is a romanized surname and given name, commonly used in Cantonese-speaking communities as a variant transliteration of the Chinese name Feng.
|
E751168
|
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: Fong | Statement: [Feng, hasVariantTransliteration, Fong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fong Context triple: [Feng, hasVariantTransliteration, Fong]
-
A.
Fang
Fang is a mysterious, dark-winged member of the avian-human hybrid "flock" and Max's closest ally and love interest in James Patterson's Maximum Ride series.
-
B.
Fang
Fang is a Bantu language widely spoken by the Fang people of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
-
C.
Fang
Fang is Rubeus Hagrid’s large, cowardly boarhound (often called a dog) from the Harry Potter series.
-
D.
Fumei
Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
-
E.
Chi-Fu
Chi-Fu is the pompous and bureaucratic imperial advisor in Disney's 1998 animated film "Mulan," often serving as a comedic antagonist to the protagonist's efforts.
- 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: Fong Triple: [Feng, hasVariantTransliteration, Fong]
Generated description
Fong is a romanized surname and given name, commonly used in Cantonese-speaking communities as a variant transliteration of the Chinese name Feng.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fong Target entity description: Fong is a romanized surname and given name, commonly used in Cantonese-speaking communities as a variant transliteration of the Chinese name Feng.
-
A.
Fang
Fang is a mysterious, dark-winged member of the avian-human hybrid "flock" and Max's closest ally and love interest in James Patterson's Maximum Ride series.
-
B.
Fang
Fang is Rubeus Hagrid’s large, cowardly boarhound (often called a dog) from the Harry Potter series.
-
C.
Fang
Fang is a Bantu language widely spoken by the Fang people of Central Africa, particularly in Equatorial Guinea, Gabon, and Cameroon.
-
D.
Fumei
Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
-
E.
Chi-Fu
Chi-Fu is the pompous and bureaucratic imperial advisor in Disney's 1998 animated film "Mulan," often serving as a comedic antagonist to the protagonist's efforts.
- 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.