Triple

T9934108
Position Surface form Disambiguated ID Type / Status
Subject Sandi E192713 entity
Predicate hasDiminutiveFormOf P456 FINISHED
Object Alessandra
Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
E835676 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: Alessandra | Statement: [Sandi, hasDiminutiveFormOf, Alessandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alessandra
Context triple: [Sandi, hasDiminutiveFormOf, Alessandra]
  • A. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • B. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • C. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • D. Lelia
    Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
  • E. Viviane
    Viviane is a legendary enchantress of Arthurian romance, often identified as the Lady of the Lake and known for her role in mentoring and imprisoning the wizard Merlin.
  • 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: Alessandra
Triple: [Sandi, hasDiminutiveFormOf, Alessandra]
Generated description
Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alessandra
Target entity description: Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
  • A. Alessandra
    Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
  • B. Romina
    Romina is an Italian-American actress and singer best known as half of the pop duo Al Bano & Romina Power.
  • C. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • D. Lelia
    Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
  • E. Viviane
    Viviane is a legendary enchantress of Arthurian romance, often identified as the Lady of the Lake and known for her role in mentoring and imprisoning the wizard Merlin.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b89c808190a2e766025dd53bd5 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269e28f0081908244f9f469b15ec1 completed April 5, 2026, 1:55 p.m.
NEDg Description generation batch_69d26b3e1b948190a76cf7ad91a1e0a5 completed April 5, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69d26c0c9ee88190867f8531e9ffbf27 completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:44 p.m.