Triple

T8650132
Position Surface form Disambiguated ID Type / Status
Subject Giannina Facio E205077 entity
Predicate familyName P18 FINISHED
Object Facio
Facio is a surname of Spanish and Italian origin borne by various notable individuals, including figures in politics, the arts, and academia.
 E749670 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: Facio | Statement: [Giannina Facio, familyName, Facio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Facio
Context triple: [Giannina Facio, familyName, Facio]
  • A. Perofascia
    Perofascia is a genus of water molds in the family Peronosporaceae, comprising oomycete organisms often associated with plant diseases.
  • B. Fannius
    Fannius is a character in Cicero’s philosophical dialogue "De re publica," participating in the work’s discussions on Roman politics and constitutional theory.
  • C. Agelaus
    Agelaus is a minor figure in Greek mythology known primarily as the son of Queen Omphale of Lydia.
  • 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. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • 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: Facio
Triple: [Giannina Facio, familyName, Facio]
Generated description
Facio is a surname of Spanish and Italian origin borne by various notable individuals, including figures in politics, the arts, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Facio
Target entity description: Facio is a surname of Spanish and Italian origin borne by various notable individuals, including figures in politics, the arts, and academia.
  • A. Perofascia
    Perofascia is a genus of water molds in the family Peronosporaceae, comprising oomycete organisms often associated with plant diseases.
  • B. Fannius
    Fannius is a character in Cicero’s philosophical dialogue "De re publica," participating in the work’s discussions on Roman politics and constitutional theory.
  • C. Agelaus
    Agelaus is a minor figure in Greek mythology known primarily as the son of Queen Omphale of Lydia.
  • 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. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4813d0548190b203e594acc38c8f completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccc166548190a1dd706041e4bfa2 completed April 2, 2026, 8:08 p.m.
NEDg Description generation batch_69cece1681288190a6c99407bc2f0bdd completed April 2, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69cecec118ac81909fbcafe841354c32 completed April 2, 2026, 8:17 p.m.
Created at: March 30, 2026, 6:29 p.m.