Triple

T13192971
Position Surface form Disambiguated ID Type / Status
Subject Lucien de Rubempré E314038 entity
Predicate romanticRelationship P9994 FINISHED
Object Coralie
Coralie is a beautiful young actress in Honoré de Balzac’s novel "Lost Illusions," known for her tragic love affair with the ambitious poet Lucien de Rubempré.
E1027381 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: Coralie | Statement: [Lucien de Rubempré, romanticRelationship, Coralie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coralie
Context triple: [Lucien de Rubempré, romanticRelationship, Coralie]
  • A. Clemie
    Clemie is a given name, typically used as a diminutive or variant of the name Clem.
  • B. Cécile
    Cécile is the sensitive and central protagonist of the French film "Cible émouvante," around whom the story’s emotional and narrative developments revolve.
  • C. Laureline
    Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
  • D. Lila
    Lila is the daughter of French actress Virginie Ledoyen.
  • E. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • 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: Coralie
Triple: [Lucien de Rubempré, romanticRelationship, Coralie]
Generated description
Coralie is a beautiful young actress in Honoré de Balzac’s novel "Lost Illusions," known for her tragic love affair with the ambitious poet Lucien de Rubempré.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coralie
Target entity description: Coralie is a beautiful young actress in Honoré de Balzac’s novel "Lost Illusions," known for her tragic love affair with the ambitious poet Lucien de Rubempré.
  • A. Clemie
    Clemie is a given name, typically used as a diminutive or variant of the name Clem.
  • B. Cécile
    Cécile is the sensitive and central protagonist of the French film "Cible émouvante," around whom the story’s emotional and narrative developments revolve.
  • C. Laureline
    Laureline is a courageous and quick-witted space-time agent who partners with Valerian in the sci-fi universe of "Valerian and the City of a Thousand Planets."
  • D. Lila
    Lila is a central female character in Max Frisch’s novel "Mein Name sei Gantenbein," around whom the narrator constructs one of his imagined lives and relationships.
  • E. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c6158e4819082c8ad75b4dfdd90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5fef9e48190961d66ebcc1df11f completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f80b420c8190b5028be4fa99fb59 completed May 3, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69f6f89072a88190b3182f581b1b6762 completed May 3, 2026, 7:26 a.m.
Created at: April 9, 2026, 9:16 p.m.