Triple

T13357728
Position Surface form Disambiguated ID Type / Status
Subject Jules Méline E318737 entity
Predicate familyName P18 FINISHED
Object Méline
Méline is a French surname most notably associated with Jules Méline, a prominent 19th-century French statesman and former Prime Minister.
 E1037601 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: Méline | Statement: [Jules Méline, familyName, Méline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Méline
Context triple: [Jules Méline, familyName, Méline]
  • A. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • B. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • C. Marcheline
    Marcheline is the affectionate nickname of Marcheline Bertrand, an American actress and humanitarian best known as the mother of Angelina Jolie.
  • D. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • E. Boucicaut
    Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
  • 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: Méline
Triple: [Jules Méline, familyName, Méline]
Generated description
Méline is a French surname most notably associated with Jules Méline, a prominent 19th-century French statesman and former Prime Minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Méline
Target entity description: Méline is a French surname most notably associated with Jules Méline, a prominent 19th-century French statesman and former Prime Minister.
  • A. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • B. Clémentine
    Clémentine is a feminine given name of French origin, commonly used in Francophone countries and beyond.
  • C. Marcheline
    Marcheline is the affectionate nickname of Marcheline Bertrand, an American actress and humanitarian best known as the mother of Angelina Jolie.
  • D. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • E. Boucicaut
    Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da62887e588190bd7241c720a112a2 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72677b2a48190aad30f3ee6cacefb completed May 3, 2026, 10:41 a.m.
NEDg Description generation batch_69f727512c94819091985c7942f40b31 completed May 3, 2026, 10:45 a.m.
NED2 Entity disambiguation (via description) batch_69f72b77d650819092c02f6488b2cfb2 completed May 3, 2026, 11:03 a.m.
Created at: April 9, 2026, 9:32 p.m.