Triple

T17350062
Position Surface form Disambiguated ID Type / Status
Subject Love Affair E421783 entity
Predicate character P662 FINISHED
Object Michel Marnet NE ONDG

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: Michel Marnet | Statement: [Love Affair, character, Michel Marnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Marnet
Context triple: [Love Affair, character, Michel Marnet]
  • A. Frank Barhydt
    Frank Barhydt is an American screenwriter best known for his collaborations with director Robert Altman, including co-writing the acclaimed ensemble film "Short Cuts."
  • B. Horace Manges
    Horace Manges was an American lawyer and co-founder of the prominent international law firm Weil, Gotshal & Manges LLP.
  • C. Marcel Tabuteau
    Marcel Tabuteau was a pioneering French-American oboist and influential pedagogue whose teaching at the Curtis Institute of Music helped shape the modern American school of oboe playing.
  • D. Herbert Blaché
    Herbert Blaché was an early 20th-century film director and producer who worked in both Britain and the United States, notably co-founding the Solax Company with pioneering filmmaker Alice Guy-Blaché.
  • E. Maurice Leroy
    Maurice Leroy is a French politician known for his centrist affiliations and ministerial roles, including serving as Minister of the City.
  • 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: Michel Marnet
Triple: [Love Affair, character, Michel Marnet]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michel Marnet
Target entity description: Michel Marnet is the charming French painter who becomes one half of the central romantic couple in the classic 1939 film "Love Affair."
  • A. Frank Barhydt
    Frank Barhydt is an American screenwriter best known for his collaborations with director Robert Altman, including co-writing the acclaimed ensemble film "Short Cuts."
  • B. Horace Manges
    Horace Manges was an American lawyer and co-founder of the prominent international law firm Weil, Gotshal & Manges LLP.
  • C. Marcel Tabuteau
    Marcel Tabuteau was a pioneering French-American oboist and influential pedagogue whose teaching at the Curtis Institute of Music helped shape the modern American school of oboe playing.
  • D. Herbert Blaché
    Herbert Blaché was an early 20th-century film director and producer who worked in both Britain and the United States, notably co-founding the Solax Company with pioneering filmmaker Alice Guy-Blaché.
  • E. Maurice Leroy
    Maurice Leroy is a French politician known for his centrist affiliations and ministerial roles, including serving as Minister of the City.
  • F. None of above. chosen

Provenance (4 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195585e5881909b0ad386b65112ba completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a0195c365348190bc5ae9d39094e6f3 in_progress May 11, 2026, 8:39 a.m.
Created at: April 10, 2026, 5:44 a.m.