Triple

T13412614
Position Surface form Disambiguated ID Type / Status
Subject Jean Cruppi E320126 entity
Predicate child P120 FINISHED
Object Jacques Cruppi
Jacques Cruppi was a French lawyer, politician, and art patron active in the late 19th and early 20th centuries.
E1040166 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: Jacques Cruppi | Statement: [Jean Cruppi, child, Jacques Cruppi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacques Cruppi
Context triple: [Jean Cruppi, child, Jacques Cruppi]
  • A. René Donnio
    René Donnio was an actor known for appearing in early 20th-century French cinema, including the 1935 film "Princesse Tam-Tam."
  • B. Louis Guglielmi
    Louis Guglielmi, better known by his pseudonym Louiguy, was a French composer famed for writing popular songs such as "La Vie en rose."
  • C. Pierre Vago
    Pierre Vago was a prominent 20th-century French architect and urban planner known for his modernist designs and influential role in international architectural organizations.
  • D. Cyril Delevanti
    Cyril Delevanti was a British-born character actor known for his distinctive features and numerous supporting roles in American films and television from the 1930s through the 1960s.
  • E. Jean Leonetti
    Jean Leonetti is a French politician and physician known for his work on end-of-life legislation and his long-standing role in center-right national politics.
  • 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: Jacques Cruppi
Triple: [Jean Cruppi, child, Jacques Cruppi]
Generated description
Jacques Cruppi was a French lawyer, politician, and art patron active in the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jacques Cruppi
Target entity description: Jacques Cruppi was a French lawyer, politician, and art patron active in the late 19th and early 20th centuries.
  • A. René Donnio
    René Donnio was an actor known for appearing in early 20th-century French cinema, including the 1935 film "Princesse Tam-Tam."
  • B. Louis Guglielmi
    Louis Guglielmi, better known by his pseudonym Louiguy, was a French composer famed for writing popular songs such as "La Vie en rose."
  • C. Pierre Vago
    Pierre Vago was a prominent 20th-century French architect and urban planner known for his modernist designs and influential role in international architectural organizations.
  • D. Cyril Delevanti
    Cyril Delevanti was a British-born character actor known for his distinctive features and numerous supporting roles in American films and television from the 1930s through the 1960s.
  • E. Jean Leonetti
    Jean Leonetti is a French politician and physician known for his work on end-of-life legislation and his long-standing role in center-right national politics.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73987cc088190839e8a589086639c completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73ab8da1c8190817895a1c8f1fe28 completed May 3, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69f73b1d0a5081909a06a644766e30d2 completed May 3, 2026, 12:10 p.m.
Created at: April 9, 2026, 9:35 p.m.