Triple

T12884147
Position Surface form Disambiguated ID Type / Status
Subject Raphaël de Valentin E308180 entity
Predicate romanticInterest P7325 FINISHED
Object Foedora
Foedora is a central female character in Honoré de Balzac's novel "La Peau de chagrin," known as a cold, aristocratic beauty who embodies unattainable desire and social ambition.
 E1009619 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: Foedora | Statement: [Raphaël de Valentin, romanticInterest, Foedora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foedora
Context triple: [Raphaël de Valentin, romanticInterest, Foedora]
  • A. FEDRO
    FEDRO is the Swiss federal authority responsible for planning, constructing, operating, and maintaining the national road network.
  • B. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • C. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • D. Tux
    Tux is the penguin mascot of the Wilkes-Barre/Scranton Penguins minor league ice hockey team.
  • E. Tux
    Tux is a picturesque alpine municipality in the Austrian Tyrol, known for its high-altitude valleys, skiing, and hiking opportunities.
  • 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: Foedora
Triple: [Raphaël de Valentin, romanticInterest, Foedora]
Generated description
Foedora is a central female character in Honoré de Balzac's novel "La Peau de chagrin," known as a cold, aristocratic beauty who embodies unattainable desire and social ambition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foedora
Target entity description: Foedora is a central female character in Honoré de Balzac's novel "La Peau de chagrin," known as a cold, aristocratic beauty who embodies unattainable desire and social ambition.
  • A. FEDRO
    FEDRO is the Swiss federal authority responsible for planning, constructing, operating, and maintaining the national road network.
  • B. Fazy
    Fazy is a Swiss surname most notably borne by James Fazy, a 19th-century politician from Geneva.
  • C. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • D. Tux
    Tux is a picturesque alpine municipality in the Austrian Tyrol, known for its high-altitude valleys, skiing, and hiking opportunities.
  • E. Tux
    Tux is the penguin mascot of the Wilkes-Barre/Scranton Penguins minor league ice hockey team.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5556fe081909ada9d491b21b17b completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a616f6e4819096c9850434882548 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a716bb2c81909dccc5ddbf3c92b5 completed May 3, 2026, 1:38 a.m.
Created at: April 9, 2026, 5:39 p.m.