Triple

T17331831
Position Surface form Disambiguated ID Type / Status
Subject La Strada E420834 entity
Predicate character P662 FINISHED
Object Gelsomina
Gelsomina is the naive, childlike young woman who becomes the tragic, emotionally resonant protagonist of Federico Fellini’s film "La Strada."
 E1262822 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: Gelsomina | Statement: [La Strada, character, Gelsomina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gelsomina
Context triple: [La Strada, character, Gelsomina]
  • A. Graziella
    Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
  • B. Ginoria
    Ginoria is a small genus of flowering plants in the loosestrife family, Lythraceae, known for its shrubby species native to the Caribbean and nearby regions.
  • C. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Giovannina
    Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
  • E. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • 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: Gelsomina
Triple: [La Strada, character, Gelsomina]
Generated description
Gelsomina is the naive, childlike young woman who becomes the tragic, emotionally resonant protagonist of Federico Fellini’s film "La Strada."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gelsomina
Target entity description: Gelsomina is the naive, childlike young woman who becomes the tragic, emotionally resonant protagonist of Federico Fellini’s film "La Strada."
  • A. Graziella
    Graziella is a feminine given name of Italian origin, often associated with grace and elegance.
  • B. Ginoria
    Ginoria is a small genus of flowering plants in the loosestrife family, Lythraceae, known for its shrubby species native to the Caribbean and nearby regions.
  • C. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • D. Giovannina
    Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
  • E. Rosalinda
    Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d6870c8190989897aa6beba8ff completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c5025d08190ab2581a3b04ae661 completed May 11, 2026, 7:59 a.m.
NEDg Description generation batch_6a018e85c91081909a6944ff136e8f50 completed May 11, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_6a018f7ebf548190b407ebeacbd4d327 completed May 11, 2026, 8:12 a.m.
Created at: April 10, 2026, 5:43 a.m.