Triple

T22032717
Position Surface form Disambiguated ID Type / Status
Subject Giancarlo Giannini E544121 entity
Predicate spouse P13 FINISHED
Object Eurilla del Bono
Eurilla del Bono is the wife of renowned Italian actor and director Giancarlo Giannini.
E1515867 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: Eurilla del Bono | Statement: [Giancarlo Giannini, spouse, Eurilla del Bono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurilla del Bono
Context triple: [Giancarlo Giannini, spouse, Eurilla del Bono]
  • A. Vanda Pignato
    Vanda Pignato is a Brazilian-born Salvadoran lawyer, politician, and former First Lady of El Salvador known for her work on women's rights and social programs.
  • B. Nelly Benedetti
    Nelly Benedetti was a French actress best known for her role in François Truffaut’s 1964 film "The Soft Skin."
  • C. Nancy Bonetti
    Nancy Bonetti is an American singer and entertainer best known for being one of the original members of the television musical troupe The Golddiggers.
  • D. Silvia Nono
    Silvia Nono is an Italian figure known primarily as the wife of acclaimed filmmaker and actor Nanni Moretti.
  • E. Ornella Barra
    Ornella Barra is a Monegasque business executive best known as a senior leader at Walgreens Boots Alliance and a prominent figure in the global pharmaceutical wholesale and retail industry.
  • 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: Eurilla del Bono
Triple: [Giancarlo Giannini, spouse, Eurilla del Bono]
Generated description
Eurilla del Bono is the wife of renowned Italian actor and director Giancarlo Giannini.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eurilla del Bono
Target entity description: Eurilla del Bono is the wife of renowned Italian actor and director Giancarlo Giannini.
  • A. Vanda Pignato
    Vanda Pignato is a Brazilian-born Salvadoran lawyer, politician, and former First Lady of El Salvador known for her work on women's rights and social programs.
  • B. Nelly Benedetti
    Nelly Benedetti was a French actress best known for her role in François Truffaut’s 1964 film "The Soft Skin."
  • C. Nancy Bonetti
    Nancy Bonetti is an American singer and entertainer best known for being one of the original members of the television musical troupe The Golddiggers.
  • D. Silvia Nono
    Silvia Nono is an Italian figure known primarily as the wife of acclaimed filmmaker and actor Nanni Moretti.
  • E. Ornella Barra
    Ornella Barra is a Monegasque business executive best known as a senior leader at Walgreens Boots Alliance and a prominent figure in the global pharmaceutical wholesale and retail industry.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ee84848190a22c24bf14498520 completed April 28, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b67c9108190ada69a65c85dc282 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7d125a788190bf1bc501956be1d9 completed May 18, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7de9ca508190b6e74fb62a9cd1bc completed May 18, 2026, 2:48 a.m.
Created at: April 16, 2026, 8:24 p.m.