Triple

T6208969
Position Surface form Disambiguated ID Type / Status
Subject Natalina Garaventa E138817 entity
Predicate givenName P17 FINISHED
Object Natalina
Natalina is an Italian feminine given name, often used in regions with strong Italian cultural and linguistic roots.
 E575334 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: Natalina | Statement: [Natalina Garaventa, givenName, Natalina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natalina
Context triple: [Natalina Garaventa, givenName, Natalina]
  • A. Jacinta
    Jacinta is a feminine given name of Spanish and Portuguese origin, famously borne by Jacinta Marto, one of the child visionaries of Fátima.
  • B. Arapova
    Arapova is a Russian-language surname historically borne by various individuals of Slavic origin.
  • C. Aleta
    Aleta is a central character in the Prince Valiant saga, known as the intelligent and noble Queen of the Misty Isles and the beloved wife of the hero Prince Valiant.
  • D. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • E. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • 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: Natalina
Triple: [Natalina Garaventa, givenName, Natalina]
Generated description
Natalina is an Italian feminine given name, often used in regions with strong Italian cultural and linguistic roots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natalina
Target entity description: Natalina is an Italian feminine given name, often used in regions with strong Italian cultural and linguistic roots.
  • A. Jacinta
    Jacinta is a feminine given name of Spanish and Portuguese origin, famously borne by Jacinta Marto, one of the child visionaries of Fátima.
  • B. Arapova
    Arapova is a Russian-language surname historically borne by various individuals of Slavic origin.
  • C. Aleta
    Aleta is a central character in the Prince Valiant saga, known as the intelligent and noble Queen of the Misty Isles and the beloved wife of the hero Prince Valiant.
  • D. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • E. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0628850bc819080a26c5e05a1d29f completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f52829c81909bdd422cbb1eabf4 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1d2bc0c448190b1ae105212f5c933 completed March 23, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69c1d33e93e48190a0962f69e7601160 completed March 23, 2026, 11:56 p.m.
Created at: March 22, 2026, 4:21 p.m.