Triple

T5861586
Position Surface form Disambiguated ID Type / Status
Subject Twilight E130285 entity
Predicate hasCharacter P2308 FINISHED
Object Laurent
Laurent is a nomadic vampire in the Twilight series who initially allies with James and Victoria before later attempting to betray the Cullens.
 E584541 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: [Twilight, hasCharacter, Laurent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laurent
Context triple: [Twilight, hasCharacter, 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. 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.
  • C. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • D. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • E. 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.
  • 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: [Twilight, hasCharacter, Laurent]
Generated description
Laurent is a nomadic vampire in the Twilight series who initially allies with James and Victoria before later attempting to betray the Cullens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laurent
Target entity description: Laurent is a nomadic vampire in the Twilight series who initially allies with James and Victoria before later attempting to betray the Cullens.
  • 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. 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.
  • C. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • D. Étienne
    Étienne is the given first name of the French Symbolist poet Stéphane Mallarmé.
  • E. 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.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03589f74881908cfa4f250263b97d completed March 22, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e399f2ec81908e2e38b9fbf8b56a completed March 27, 2026, 1:55 a.m.
NEDg Description generation batch_69c5f2e8a1608190991d9f7d7971cdcd completed March 27, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_69c5f37934d481909be8cae27bf75448 completed March 27, 2026, 3:03 a.m.
Created at: March 22, 2026, 3:56 p.m.