Triple

T2827627
Position Surface form Disambiguated ID Type / Status
Subject Jean Monnet E54961 entity
Predicate spouse P13 FINISHED
Object Silvia de Bondini
Silvia de Bondini was the wife of influential French political economist and European integration pioneer Jean Monnet.
E304616 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: Silvia de Bondini | Statement: [Jean Monnet, spouse, Silvia de Bondini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silvia de Bondini
Context triple: [Jean Monnet, spouse, Silvia de Bondini]
  • A. Lilia Vetti
    Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
  • B. Antonela Roccuzzo
    Antonela Roccuzzo is an Argentine model and businesswoman best known as the longtime partner and wife of footballer Lionel Messi.
  • C. Natalina Garaventa
    Natalina Garaventa was the Italian-born mother of American singer and actor Frank Sinatra, known for her strong personality and influence on his early life.
  • D. Adriana Caselotti
    Adriana Caselotti was an American actress and singer best known for providing the original voice of Snow White in Disney’s pioneering 1937 animated feature.
  • E. Mercedes Delpino
    Mercedes Delpino was the wife of American actor and comedian Bert Lahr, best known for his role as the Cowardly Lion in "The Wizard of Oz."
  • 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: Silvia de Bondini
Triple: [Jean Monnet, spouse, Silvia de Bondini]
Generated description
Silvia de Bondini was the wife of influential French political economist and European integration pioneer Jean Monnet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Silvia de Bondini
Target entity description: Silvia de Bondini was the wife of influential French political economist and European integration pioneer Jean Monnet.
  • A. Lilia Vetti
    Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
  • B. Antonela Roccuzzo
    Antonela Roccuzzo is an Argentine model and businesswoman best known as the longtime partner and wife of footballer Lionel Messi.
  • C. Natalina Garaventa
    Natalina Garaventa was the Italian-born mother of American singer and actor Frank Sinatra, known for her strong personality and influence on his early life.
  • D. Adriana Caselotti
    Adriana Caselotti was an American actress and singer best known for providing the original voice of Snow White in Disney’s pioneering 1937 animated feature.
  • E. Mercedes Delpino
    Mercedes Delpino was the wife of American actor and comedian Bert Lahr, best known for his role as the Cowardly Lion in "The Wizard of Oz."
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde95d8148190bcae8b0659a5c116 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d6b1ebc8190ae54d560abb5e612 completed March 10, 2026, 1:32 p.m.
NEDg Description generation batch_69b01e212f98819091bdf5f448d4e6e7 completed March 10, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69b01f0ce280819098b3ed695e277ecc completed March 10, 2026, 1:39 p.m.
Created at: March 6, 2026, 9:59 p.m.