Triple

T8605284
Position Surface form Disambiguated ID Type / Status
Subject Alessandra Ambrosio E203781 entity
Predicate givenName P17 FINISHED
Object Alessandra
Alessandra is a feminine given name of Italian origin, commonly associated with figures in fashion, entertainment, and the arts.
 E562260 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: [Alessandra Ambrosio, givenName, Alessandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alessandra
Context triple: [Alessandra Ambrosio, givenName, 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. 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.
  • E. Melina
    Melina is a key resistance fighter and love interest in the science fiction film "Total Recall," known for aiding the protagonist in his struggle against a corrupt Martian regime.
  • 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: [Alessandra Ambrosio, givenName, Alessandra]
Generated description
Alessandra is a feminine given name of Italian origin, commonly associated with figures in fashion, entertainment, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alessandra
Target entity description: Alessandra is a feminine given name of Italian origin, commonly associated with figures in fashion, entertainment, and the arts.
  • A. Alessandra chosen
    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. 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.
  • E. Melina
    Melina is a key resistance fighter and love interest in the science fiction film "Total Recall," known for aiding the protagonist in his struggle against a corrupt Martian regime.
  • F. None of above.

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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46e9b6a881908f6a6c847519e5e5 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28344e80819085955004a631e654 completed April 3, 2026, 2:38 a.m.
NEDg Description generation batch_69cf2a6a91d48190aa7d45b0a010f261 completed April 3, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf2c0aace08190aca839c39e718c52 completed April 3, 2026, 2:55 a.m.
Created at: March 30, 2026, 6:24 p.m.