Triple

T3313662
Position Surface form Disambiguated ID Type / Status
Subject Thérèse Raquin E69629 entity
Predicate mainCharacter P1183 FINISHED
Object Laurent
Laurent is a central figure in Émile Zola’s novel "Thérèse Raquin," known as Thérèse’s lover and accomplice in a dark, psychologically driven crime.
 E370200 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: Laurent | Statement: [Thérèse Raquin, mainCharacter, Laurent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laurent
Context triple: [Thérèse Raquin, mainCharacter, Laurent]
  • A. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • B. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • C. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • D. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • E. Lucien
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • 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: Laurent
Triple: [Thérèse Raquin, mainCharacter, Laurent]
Generated description
Laurent is a central figure in Émile Zola’s novel "Thérèse Raquin," known as Thérèse’s lover and accomplice in a dark, psychologically driven crime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laurent
Target entity description: Laurent is a central figure in Émile Zola’s novel "Thérèse Raquin," known as Thérèse’s lover and accomplice in a dark, psychologically driven crime.
  • A. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • B. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • C. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • D. Firmin
    Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
  • E. Lucien
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb6f45ec8190835a8a68ffa99efc completed March 13, 2026, 7:23 a.m.
NEDg Description generation batch_69b3bc03f0f08190bf1b89d779a15746 completed March 13, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_69b3f92268c08190a17f1c90ef2277b2 completed March 13, 2026, 11:46 a.m.
Created at: March 8, 2026, 3:11 p.m.