Triple

T9518547
Position Surface form Disambiguated ID Type / Status
Subject Michel Auclair E229585 entity
Predicate notableWork P4 FINISHED
Object Marie-Octobre
Marie-Octobre is a 1959 French suspense drama film about former Resistance members reuniting years after World War II to unmask a traitor among them.
 E804469 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: Marie-Octobre | Statement: [Michel Auclair, notableWork, Marie-Octobre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marie-Octobre
Context triple: [Michel Auclair, notableWork, Marie-Octobre]
  • A. Léopoldine
    Léopoldine is a feminine given name of French origin, notably borne by Victor Hugo’s daughter Léopoldine Hugo.
  • B. Eugenie
    Eugenie is the birth name of American silent-film star Billie Dove, a popular actress of the 1920s and early 1930s.
  • C. Eugenie
    Eugenie is a member of the British royal family, best known as Princess Eugenie of York, the younger daughter of Prince Andrew and Sarah, Duchess of York.
  • D. Louise-Marie
    Louise-Marie is a French royal given name notably borne by Princess Louise-Marie of Orléans, a 19th-century Belgian queen consort.
  • E. Françoise-Améthyste Christophe
    Françoise-Améthyste Christophe was a daughter of Henri Christophe, the early 19th-century Haitian revolutionary leader and king of the Kingdom of Haiti.
  • 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: Marie-Octobre
Triple: [Michel Auclair, notableWork, Marie-Octobre]
Generated description
Marie-Octobre is a 1959 French suspense drama film about former Resistance members reuniting years after World War II to unmask a traitor among them.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marie-Octobre
Target entity description: Marie-Octobre is a 1959 French suspense drama film about former Resistance members reuniting years after World War II to unmask a traitor among them.
  • A. Léopoldine
    Léopoldine is a feminine given name of French origin, notably borne by Victor Hugo’s daughter Léopoldine Hugo.
  • B. Eugenie
    Eugenie is the birth name of American silent-film star Billie Dove, a popular actress of the 1920s and early 1930s.
  • C. Eugenie
    Eugenie is a member of the British royal family, best known as Princess Eugenie of York, the younger daughter of Prince Andrew and Sarah, Duchess of York.
  • D. Louise-Marie
    Louise-Marie is a French royal given name notably borne by Princess Louise-Marie of Orléans, a 19th-century Belgian queen consort.
  • E. Françoise-Améthyste Christophe
    Françoise-Améthyste Christophe was a daughter of Henri Christophe, the early 19th-century Haitian revolutionary leader and king of the Kingdom of Haiti.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a4aeb008190ae5d54367efe2722 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c78d6108190ad2cab79070077a8 completed April 4, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_69d13d2aac8c8190a00c8fe820baa732 completed April 4, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:59 p.m.