Triple

T14077763
Position Surface form Disambiguated ID Type / Status
Subject Intimacy E338781 entity
Predicate producer P490 FINISHED
Object Charles Gassot
Charles Gassot is a French film producer known for his work on acclaimed European cinema.
 E1465631 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: Charles Gassot | Statement: [Intimacy, producer, Charles Gassot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charles Gassot
Context triple: [Intimacy, producer, Charles Gassot]
  • A. Gerald Gouriet
    Gerald Gouriet is a composer best known for his work on film and television scores, including the music for the crime drama "L.A. Takedown."
  • B. Armand Gensonné
    Armand Gensonné was a French lawyer and revolutionary politician who became a prominent leader of the Girondin faction during the French Revolution and was executed during the Reign of Terror.
  • C. François Chattot
    François Chattot is a French actor known for his work in film, theatre, and television.
  • D. Paul Brousse
    Paul Brousse was a French socialist leader and physician who became a prominent figure in the late 19th-century workers’ movement and an influential theorist of reformist socialism.
  • E. Louis Boisot
    Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
  • 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: Charles Gassot
Triple: [Intimacy, producer, Charles Gassot]
Generated description
Charles Gassot is a French film producer known for his work on acclaimed European cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charles Gassot
Target entity description: Charles Gassot is a French film producer known for his work on acclaimed European cinema.
  • A. Gerald Gouriet
    Gerald Gouriet is a composer best known for his work on film and television scores, including the music for the crime drama "L.A. Takedown."
  • B. Armand Gensonné
    Armand Gensonné was a French lawyer and revolutionary politician who became a prominent leader of the Girondin faction during the French Revolution and was executed during the Reign of Terror.
  • C. François Chattot
    François Chattot is a French actor known for his work in film, theatre, and television.
  • D. Paul Brousse
    Paul Brousse was a French socialist leader and physician who became a prominent figure in the late 19th-century workers’ movement and an influential theorist of reformist socialism.
  • E. Louis Boisot
    Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5e027881908f610f5bab7598d4 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a095a3c0c68819087c51a0a3d7efba7 completed May 17, 2026, 6:03 a.m.
NEDg Description generation batch_6a095aefc3f4819089e89a3b495a6d37 completed May 17, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_6a095b71e4c08190a41566557503b9a8 completed May 17, 2026, 6:08 a.m.
Created at: April 9, 2026, 10:21 p.m.