Triple

T9986788
Position Surface form Disambiguated ID Type / Status
Subject Ferruccio Lamborghini E196788 entity
Predicate spouse P13 FINISHED
Object Maria Teresa Cane
Maria Teresa Cane was the wife of Italian industrialist and Lamborghini founder Ferruccio Lamborghini.
E833586 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: Maria Teresa Cane | Statement: [Ferruccio Lamborghini, spouse, Maria Teresa Cane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Teresa Cane
Context triple: [Ferruccio Lamborghini, spouse, Maria Teresa Cane]
  • A. Anna Maria Moncini
    Anna Maria Moncini was the wife of Italian Socialist politician and former Prime Minister Bettino Craxi.
  • B. Teresa di Vicenzo
    Teresa di Vicenzo is a fictional character from the James Bond franchise, best known as Tracy Bond, the woman James Bond marries in the film "On Her Majesty's Secret Service."
  • C. Maria Louisa Bustill
    Maria Louisa Bustill was an African American teacher from a prominent mixed-race Quaker family in Philadelphia and the mother of actor, singer, and civil rights activist Paul Robeson.
  • D. Mary Theresa Gallwey
    Mary Theresa Gallwey was the mother of renowned British architect Sir Edwin Lutyens.
  • E. Marie D’Ancanto
    Marie D’Ancanto, better known as Rogue, is a mutant superhero in the X-Men universe whose power-absorbing touch makes her both powerful and tragically isolated.
  • 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: Maria Teresa Cane
Triple: [Ferruccio Lamborghini, spouse, Maria Teresa Cane]
Generated description
Maria Teresa Cane was the wife of Italian industrialist and Lamborghini founder Ferruccio Lamborghini.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maria Teresa Cane
Target entity description: Maria Teresa Cane was the wife of Italian industrialist and Lamborghini founder Ferruccio Lamborghini.
  • A. Anna Maria Moncini
    Anna Maria Moncini was the wife of Italian Socialist politician and former Prime Minister Bettino Craxi.
  • B. Teresa di Vicenzo
    Teresa di Vicenzo is a fictional character from the James Bond franchise, best known as Tracy Bond, the woman James Bond marries in the film "On Her Majesty's Secret Service."
  • C. Maria Louisa Bustill
    Maria Louisa Bustill was an African American teacher from a prominent mixed-race Quaker family in Philadelphia and the mother of actor, singer, and civil rights activist Paul Robeson.
  • D. Mary Theresa Gallwey
    Mary Theresa Gallwey was the mother of renowned British architect Sir Edwin Lutyens.
  • E. Marie D’Ancanto
    Marie D’Ancanto, better known as Rogue, is a mutant superhero in the X-Men universe whose power-absorbing touch makes her both powerful and tragically isolated.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc79c8b80819091dc16ac8fd0c720 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258078488819086a58db79075e2b9 completed April 5, 2026, 12:39 p.m.
NEDg Description generation batch_69d258f0e91881909fdda5a5f3e50d29 completed April 5, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_69d259bf38b08190b059dd7bd42d8862 completed April 5, 2026, 12:46 p.m.
Created at: March 30, 2026, 8:49 p.m.