Triple

T1289867
Position Surface form Disambiguated ID Type / Status
Subject Tino Rossi E27519 entity
Predicate child P120 FINISHED
Object Laurent Rossi
Laurent Rossi is the son of famed French singer and actor Tino Rossi, known primarily for his connection to his father's legacy in French popular culture.
 E148584 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: Laurent Rossi | Statement: [Tino Rossi, child, Laurent Rossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laurent Rossi
Context triple: [Tino Rossi, child, Laurent Rossi]
  • A. Laurent Durand
    Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
  • B. Stéphane Mille
    Stéphane Mille is a French Air and Space Force general who serves as its current chief of staff.
  • C. Olivier Bianchi
    Olivier Bianchi is a French politician best known as the long-serving mayor and cultural advocate of the city of Clermont-Ferrand.
  • D. François-Cyrille Grange
    François-Cyrille Grange is a French alpine skier best known for lighting the Olympic cauldron at the 1992 Winter Olympics in Albertville.
  • E. Bertrand Fagalde
    Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
  • 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: Laurent Rossi
Triple: [Tino Rossi, child, Laurent Rossi]
Generated description
Laurent Rossi is the son of famed French singer and actor Tino Rossi, known primarily for his connection to his father's legacy in French popular culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laurent Rossi
Target entity description: Laurent Rossi is the son of famed French singer and actor Tino Rossi, known primarily for his connection to his father's legacy in French popular culture.
  • A. Laurent Durand
    Laurent Durand was an 18th-century French publisher and bookseller best known for helping to produce the influential Enlightenment-era Encyclopédie.
  • B. Stéphane Mille
    Stéphane Mille is a French Air and Space Force general who serves as its current chief of staff.
  • C. Olivier Bianchi
    Olivier Bianchi is a French politician best known as the long-serving mayor and cultural advocate of the city of Clermont-Ferrand.
  • D. François-Cyrille Grange
    François-Cyrille Grange is a French alpine skier best known for lighting the Olympic cauldron at the 1992 Winter Olympics in Albertville.
  • E. Bertrand Fagalde
    Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d4dfb081908c8825d6062b1d99 completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2ff0d4c8190893901e041f30171 completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb364f2d88190b20ad87001349562 completed March 7, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69acb3ce7720819095558536e0a978b8 completed March 7, 2026, 11:25 p.m.
Created at: March 1, 2026, 7:51 p.m.