Triple

T8107643
Position Surface form Disambiguated ID Type / Status
Subject Opéra-Comique E189265 entity
Predicate premieredWork P52780 FINISHED
Object Manon
Manon is a French opera by Jules Massenet, based on Abbé Prévost’s novel about the tragic love affair of the young woman Manon Lescaut and the Chevalier des Grieux.
E719717 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: Manon | Statement: [Opéra-Comique, premieredWork, Manon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manon
Context triple: [Opéra-Comique, premieredWork, Manon]
  • A. Manon
    Manon is a full-length romantic ballet choreographed by Kenneth MacMillan, based on the Abbé Prévost novel "Manon Lescaut" and renowned for its dramatic intensity and demanding lead roles.
  • B. Manon Lewis
    Manon Lewis is the daughter of the late British actress Helen McCrory and actor Damian Lewis.
  • C. Bénédicte
    Bénédicte is the given name of Louise Bénédicte de Bourbon, a French noblewoman of the House of Bourbon.
  • D. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • E. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • 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: Manon
Triple: [Opéra-Comique, premieredWork, Manon]
Generated description
Manon is a French opera by Jules Massenet, based on Abbé Prévost’s novel about the tragic love affair of the young woman Manon Lescaut and the Chevalier des Grieux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Manon
Target entity description: Manon is a French opera by Jules Massenet, based on Abbé Prévost’s novel about the tragic love affair of the young woman Manon Lescaut and the Chevalier des Grieux.
  • A. Manon
    Manon is a full-length romantic ballet choreographed by Kenneth MacMillan, based on the Abbé Prévost novel "Manon Lescaut" and renowned for its dramatic intensity and demanding lead roles.
  • B. Manon Lewis
    Manon Lewis is the daughter of the late British actress Helen McCrory and actor Damian Lewis.
  • C. Bénédicte
    Bénédicte is the given name of Louise Bénédicte de Bourbon, a French noblewoman of the House of Bourbon.
  • D. Delphine
    Delphine is an epistolary novel by Madame de Staël that explores themes of love, social convention, and women's independence in late 18th-century French society.
  • E. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fa40e08190955fccec1a28eb34 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced062f3881908560b657c096c92e completed April 1, 2026, 10:01 a.m.
NEDg Description generation batch_69ccf09a952c8190ace6a9f0012ad90a completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd055292088190927046793cec1c36 completed April 1, 2026, 11:45 a.m.
Created at: March 30, 2026, 5:32 p.m.