Triple

T10703072
Position Surface form Disambiguated ID Type / Status
Subject Theophania E252326 entity
Predicate hasDiminutive P456 FINISHED
Object Fani
Fani is a diminutive given name derived from Theophania, commonly used as a familiar or affectionate form of that name.
 E880285 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: Fani | Statement: [Theophania, hasDiminutive, Fani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fani
Context triple: [Theophania, hasDiminutive, Fani]
  • A. Ferminia
    Ferminia is a small genus of wrens in the family Troglodytidae, best known for the critically endangered Cuban endemic species Ferminia cerverai (the Zapata wren).
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Marianna
    Marianna is a small city in Florida’s Panhandle known for its historic architecture, including the Russ House, and its proximity to natural attractions like caves and springs.
  • D. Nannini
    Nannini is an Italian surname most prominently associated with rock singer-songwriter Gianna Nannini and her family.
  • E. Vonetta
    Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
  • 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: Fani
Triple: [Theophania, hasDiminutive, Fani]
Generated description
Fani is a diminutive given name derived from Theophania, commonly used as a familiar or affectionate form of that name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fani
Target entity description: Fani is a diminutive given name derived from Theophania, commonly used as a familiar or affectionate form of that name.
  • A. Ferminia
    Ferminia is a small genus of wrens in the family Troglodytidae, best known for the critically endangered Cuban endemic species Ferminia cerverai (the Zapata wren).
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Marianna
    Marianna is a small city in Florida’s Panhandle known for its historic architecture, including the Russ House, and its proximity to natural attractions like caves and springs.
  • D. Nannini
    Nannini is an Italian surname most prominently associated with rock singer-songwriter Gianna Nannini and her family.
  • E. Vonetta
    Vonetta is a feminine given name most notably borne by American bobsledder and Olympic gold medalist Vonetta Flowers.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddd28d481908abc5c1d4e5a9f3e completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998f5cda081909932daa3c98f8b46 completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8632688190b3746649a124ca09 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69da625a1e8c8190b282e7a70bb7c876 completed April 11, 2026, 3:01 p.m.
Created at: April 8, 2026, 9:12 p.m.