Triple

T12088006
Position Surface form Disambiguated ID Type / Status
Subject Fanny E287859 entity
Predicate hasVariant P455 FINISHED
Object Fany
Fany is a given name, typically used as a variant spelling of Fanny.
 E965599 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: Fany | Statement: [Fanny, hasVariant, Fany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fany
Context triple: [Fanny, hasVariant, Fany]
  • A. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • B. Geisa
    Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
  • C. Sui-San
    Sui-San is a member of the Eternals in Marvel Comics, best known as the mother of the cosmic supervillain Thanos.
  • D. Riza
    Riza is a masculine given name commonly used in various cultures, often with roots in Arabic and Turkish languages.
  • E. Nyonya
    Nyonya is a term used in Peranakan Chinese culture to refer to women of mixed Chinese and local Southeast Asian heritage, known for their distinctive customs, cuisine, and dress.
  • 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: Fany
Triple: [Fanny, hasVariant, Fany]
Generated description
Fany is a given name, typically used as a variant spelling of Fanny.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fany
Target entity description: Fany is a given name, typically used as a variant spelling of Fanny.
  • A. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • B. Geisa
    Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
  • C. Sui-San
    Sui-San is a member of the Eternals in Marvel Comics, best known as the mother of the cosmic supervillain Thanos.
  • D. Riza
    Riza is a masculine given name commonly used in various cultures, often with roots in Arabic and Turkish languages.
  • E. Nyonya
    Nyonya is a term used in Peranakan Chinese culture to refer to women of mixed Chinese and local Southeast Asian heritage, known for their distinctive customs, cuisine, and dress.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91514c78c8190bc1cd569e524e8b4 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f668eff88190877ce9bb991c1258 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fd79da748190b3f0dd7d7a46314d completed May 2, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeaf2e48190995f282b02a9caaf completed May 2, 2026, 1:40 p.m.
Created at: April 8, 2026, 9:48 p.m.