Triple

T10608074
Position Surface form Disambiguated ID Type / Status
Subject Luc Besson E275928 entity
Predicate familyName P18 FINISHED
Object Besson
Besson is a French surname most prominently associated with filmmaker Luc Besson, known for directing and producing influential action and science fiction films.
E874213 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: Besson | Statement: [Luc Besson, familyName, Besson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Besson
Context triple: [Luc Besson, familyName, Besson]
  • A. Boris de Fast
    Boris de Fast was a Russian-born actor and screenwriter active in early 20th-century European cinema, known for his roles in silent and early sound films.
  • B. René Besson
    René Besson is a film producer known for his work on the action thriller "Homefront."
  • C. Villedieu
    Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
  • D. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • E. Guillaumin
    Guillaumin is the surname of Armand Guillaumin, a French Impressionist painter known for his vibrant landscapes and use of color.
  • 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: Besson
Triple: [Luc Besson, familyName, Besson]
Generated description
Besson is a French surname most prominently associated with filmmaker Luc Besson, known for directing and producing influential action and science fiction films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Besson
Target entity description: Besson is a French surname most prominently associated with filmmaker Luc Besson, known for directing and producing influential action and science fiction films.
  • A. Boris de Fast
    Boris de Fast was a Russian-born actor and screenwriter active in early 20th-century European cinema, known for his roles in silent and early sound films.
  • B. René Besson
    René Besson is a film producer known for his work on the action thriller "Homefront."
  • C. Villedieu
    Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
  • D. Jean-Pierre
    Jean-Pierre is a French given name commonly used as a masculine compound first name.
  • E. Guillaumin
    Guillaumin is the surname of Armand Guillaumin, a French Impressionist painter known for his vibrant landscapes and use of color.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4c38c881908f69bb757b8e03f5 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eb726bc8190a8db7357bd126016 completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d95f81955c8190b629d57a034a4b76 completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d961047a78819088094e02c0b99f60 completed April 10, 2026, 8:43 p.m.
Created at: April 8, 2026, 7:32 p.m.