Triple

T8650131
Position Surface form Disambiguated ID Type / Status
Subject Giannina Facio E205077 entity
Predicate givenName P17 FINISHED
Object Giannina
Giannina is a Costa Rican actress and film producer best known for her frequent collaborations with director Ridley Scott, to whom she is married.
 E749669 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: Giannina | Statement: [Giannina Facio, givenName, Giannina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Giannina
Context triple: [Giannina Facio, givenName, Giannina]
  • A. Vassiliki
    Vassiliki is a coastal village on the Greek island of Lefkada, known for its popular beaches and excellent windsurfing conditions.
  • B. Eleni
    Eleni is a feminine given name of Greek origin, commonly used in Greece and among Greek communities worldwide.
  • C. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • E. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • 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: Giannina
Triple: [Giannina Facio, givenName, Giannina]
Generated description
Giannina is a Costa Rican actress and film producer best known for her frequent collaborations with director Ridley Scott, to whom she is married.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Giannina
Target entity description: Giannina is a Costa Rican actress and film producer best known for her frequent collaborations with director Ridley Scott, to whom she is married.
  • A. Vassiliki
    Vassiliki is a coastal village on the Greek island of Lefkada, known for its popular beaches and excellent windsurfing conditions.
  • B. Eleni
    Eleni is a feminine given name of Greek origin, commonly used in Greece and among Greek communities worldwide.
  • C. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • E. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • 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.