Triple

T23295988
Position Surface form Disambiguated ID Type / Status
Subject Bishop of Digne E590170 entity
Predicate familyName P18 FINISHED
Object Myriel
Myriel is the compassionate Bishop of Digne in Victor Hugo's novel "Les Misérables," known for his pivotal act of mercy toward Jean Valjean.
 E1581477 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: Myriel | Statement: [Bishop of Digne, familyName, Myriel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Myriel
Context triple: [Bishop of Digne, familyName, Myriel]
  • A. Mériel
    Mériel is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • C. Dora di Veny
    Dora di Veny is a mountain stream in Italy’s Aosta Valley that drains the southern side of Mont Blanc and contributes to the upper course of the Dora Baltea river.
  • D. Léonie
    Léonie is a feminine given name of French origin, derived from the Latin "Leo" meaning "lion."
  • E. Mignon
    Mignon is a mysterious, ethereal child of Italian origin who becomes one of the most poignant and symbolically rich figures in Goethe’s novel "Wilhelm Meister’s Apprenticeship."
  • 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: Myriel
Triple: [Bishop of Digne, familyName, Myriel]
Generated description
Myriel is the compassionate Bishop of Digne in Victor Hugo's novel "Les Misérables," known for his pivotal act of mercy toward Jean Valjean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Myriel
Target entity description: Myriel is the compassionate Bishop of Digne in Victor Hugo's novel "Les Misérables," known for his pivotal act of mercy toward Jean Valjean.
  • A. Mériel
    Mériel is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Margeride
    Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
  • C. Dora di Veny
    Dora di Veny is a mountain stream in Italy’s Aosta Valley that drains the southern side of Mont Blanc and contributes to the upper course of the Dora Baltea river.
  • D. Léonie
    Léonie is a feminine given name of French origin, derived from the Latin "Leo" meaning "lion."
  • E. Mignon
    Mignon is a mysterious, ethereal child of Italian origin who becomes one of the most poignant and symbolically rich figures in Goethe’s novel "Wilhelm Meister’s Apprenticeship."
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196cec9e88190b83cfd53a6455e0f completed April 29, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4c92b3f88190b4149ec072522e49 completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4ef9dcc48190b0c0ca52555f5490 completed May 19, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a0c506b25ec819084b9522fa827abe7 completed May 19, 2026, 11:58 a.m.
Created at: April 17, 2026, 5:03 p.m.