Triple

T13276746
Position Surface form Disambiguated ID Type / Status
Subject Le Soupirant E316209 entity
Predicate cinematographyBy P1953 FINISHED
Object Pierre Levent
Pierre Levent is a cinematographer known for his work on the film "Le Soupirant."
E1044142 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: Pierre Levent | Statement: [Le Soupirant, cinematographyBy, Pierre Levent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Levent
Context triple: [Le Soupirant, cinematographyBy, Pierre Levent]
  • A. Jean-Pierre Gillard
    Jean-Pierre Gillard is a surrealist artist and writer associated with the historic Surrealist Group in Paris.
  • B. Denis Carot
    Denis Carot is a film producer known for his work on the French animated feature "Home" and other cinematic projects.
  • C. Jean-Pierre Brisset
    Jean-Pierre Brisset was a French autodidact, writer, and eccentric linguist whose bizarre theories about language and the origins of humanity later made him a celebrated precursor of Surrealism.
  • D. Michel Droit
    Michel Droit was a French writer, journalist, and member of the Académie Française known for his novels, essays, and prominent role in French cultural life in the 20th century.
  • E. François Lecointre
    François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
  • 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: Pierre Levent
Triple: [Le Soupirant, cinematographyBy, Pierre Levent]
Generated description
Pierre Levent is a cinematographer known for his work on the film "Le Soupirant."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pierre Levent
Target entity description: Pierre Levent is a cinematographer known for his work on the film "Le Soupirant."
  • A. Jean-Pierre Gillard
    Jean-Pierre Gillard is a surrealist artist and writer associated with the historic Surrealist Group in Paris.
  • B. Denis Carot
    Denis Carot is a film producer known for his work on the French animated feature "Home" and other cinematic projects.
  • C. Jean-Pierre Brisset
    Jean-Pierre Brisset was a French autodidact, writer, and eccentric linguist whose bizarre theories about language and the origins of humanity later made him a celebrated precursor of Surrealism.
  • D. Michel Droit
    Michel Droit was a French writer, journalist, and member of the Académie Française known for his novels, essays, and prominent role in French cultural life in the 20th century.
  • E. François Lecointre
    François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99042f56c819082440c89c0adc442 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7546e0b148190a78e6da408347690 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f75595c874819088c192f9f5d31f01 completed May 3, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69f7560bf3f88190847adca083f236fe completed May 3, 2026, 2:05 p.m.
Created at: April 9, 2026, 9:26 p.m.