Triple

T14106574
Position Surface form Disambiguated ID Type / Status
Subject La Faute de l’Abbé Mouret E339521 entity
Predicate mainCharacter P1183 FINISHED
Object Bambousse
Bambousse is a peasant farmer character in Émile Zola’s novel "La Faute de l’Abbé Mouret," representing the rough, earthy rural world that contrasts with the protagonist’s spiritual turmoil.
 E1081031 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: Bambousse | Statement: [La Faute de l’Abbé Mouret, mainCharacter, Bambousse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bambousse
Context triple: [La Faute de l’Abbé Mouret, mainCharacter, Bambousse]
  • A. Bambou
    Bambou is a French singer, actress, and model best known as the longtime companion and muse of musician Serge Gainsbourg in the 1980s.
  • B. Bamboo
    Bamboo is a fast-growing, woody grass known for its tall, hollow stems and widespread use in construction, crafts, and as an ornamental plant.
  • C. Bamboo
    Bamboo is a small rural village located in Saint Ann Parish on the northern coast of Jamaica.
  • D. Pambo
    Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
  • E. Banyon
    Banyon is an American television detective series from the early 1970s centered on a hard-boiled private investigator in 1930s Los Angeles.
  • 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: Bambousse
Triple: [La Faute de l’Abbé Mouret, mainCharacter, Bambousse]
Generated description
Bambousse is a peasant farmer character in Émile Zola’s novel "La Faute de l’Abbé Mouret," representing the rough, earthy rural world that contrasts with the protagonist’s spiritual turmoil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bambousse
Target entity description: Bambousse is a peasant farmer character in Émile Zola’s novel "La Faute de l’Abbé Mouret," representing the rough, earthy rural world that contrasts with the protagonist’s spiritual turmoil.
  • A. Bambou
    Bambou is a French singer, actress, and model best known as the longtime companion and muse of musician Serge Gainsbourg in the 1980s.
  • B. Bamboo
    Bamboo is a fast-growing, woody grass known for its tall, hollow stems and widespread use in construction, crafts, and as an ornamental plant.
  • C. Bamboo
    Bamboo is a small rural village located in Saint Ann Parish on the northern coast of Jamaica.
  • D. Pambo
    Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
  • E. Banyon
    Banyon is an American television detective series from the early 1970s centered on a hard-boiled private investigator in 1930s Los Angeles.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600ada808190b92d67dc30f13d15 completed April 14, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b48e448190b4fb8cb33e5d97e6 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd288bd5881908f6a442201c5beea completed May 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3ad7be8819094fc71c9f44fb4cb completed May 7, 2026, 6:02 p.m.
Created at: April 9, 2026, 10:22 p.m.