Triple

T4039004
Position Surface form Disambiguated ID Type / Status
Subject Francesca E83896 entity
Predicate hasDiminutive P456 FINISHED
Object Franci
Franci is a diminutive form of the Italian given name Francesca, often used as an affectionate nickname.
 E408407 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: Franci | Statement: [Francesca, hasDiminutive, Franci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Franci
Context triple: [Francesca, hasDiminutive, Franci]
  • A. Fransat
    Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • B. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • C. Marić
    Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
  • D. Frentani
    The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
  • E. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • 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: Franci
Triple: [Francesca, hasDiminutive, Franci]
Generated description
Franci is a diminutive form of the Italian given name Francesca, often used as an affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Franci
Target entity description: Franci is a diminutive form of the Italian given name Francesca, often used as an affectionate nickname.
  • A. Fransat
    Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • B. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • C. Marić
    Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
  • D. Frentani
    The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
  • E. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556fec4708190b221893ec35f1a38 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b557f73cbc8190b904089ab0fa97d6 completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:37 p.m.