Triple

T18755087
Position Surface form Disambiguated ID Type / Status
Subject Drive Angry E458628 entity
Predicate producer P490 FINISHED
Object René Besson
René Besson is a film producer known for his work on action and genre movies, including the supernatural revenge film "Drive Angry."
E821573 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: René Besson | Statement: [Drive Angry, producer, René Besson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: René Besson
Context triple: [Drive Angry, producer, René Besson]
  • A. René Besson
    René Besson is a film producer known for his work on the action thriller "Homefront."
  • B. Jean-Marc Eustache
    Jean-Marc Eustache is a Canadian businessman best known as a co-founder and longtime leader of the travel company Transat A.T., parent of airline Air Transat.
  • C. Alain Berliner
    Alain Berliner is a Belgian film director and screenwriter best known for his acclaimed 1997 drama "Ma vie en rose."
  • D. Denis Douyon
    Denis Douyon is a researcher known for his scholarly work on the Dogon languages of Mali.
  • E. Philippe Sureau
    Philippe Sureau is a Canadian businessman best known as a co-founder of the leisure airline Air Transat.
  • 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: René Besson
Triple: [Drive Angry, producer, René Besson]
Generated description
René Besson is a film producer known for his work on action and genre movies, including the supernatural revenge film "Drive Angry."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: René Besson
Target entity description: René Besson is a film producer known for his work on action and genre movies, including the supernatural revenge film "Drive Angry."
  • A. René Besson chosen
    René Besson is a film producer known for his work on the action thriller "Homefront."
  • B. Jean-Marc Eustache
    Jean-Marc Eustache is a Canadian businessman best known as a co-founder and longtime leader of the travel company Transat A.T., parent of airline Air Transat.
  • C. Alain Berliner
    Alain Berliner is a Belgian film director and screenwriter best known for his acclaimed 1997 drama "Ma vie en rose."
  • D. Denis Douyon
    Denis Douyon is a researcher known for his scholarly work on the Dogon languages of Mali.
  • E. Philippe Sureau
    Philippe Sureau is a Canadian businessman best known as a co-founder of the leisure airline Air Transat.
  • F. None of above.

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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f084208190a4b3563d47154e69 completed April 20, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d3967408190bd9fc7493179a198 completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a053eee3d4c81909706ea5e19aef1cf completed May 14, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a053fa12df48190b1a8bbdd5f3080a3 completed May 14, 2026, 3:21 a.m.
Created at: April 10, 2026, 11:51 a.m.