Triple

T5455882
Position Surface form Disambiguated ID Type / Status
Subject Amadis E122475 entity
Predicate character P662 FINISHED
Object Corisande
Corisande is a noble lady and love interest in the medieval chivalric romance cycle "Amadis de Gaula."
 E521201 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: Corisande | Statement: [Amadis, character, Corisande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Corisande
Context triple: [Amadis, character, Corisande]
  • A. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • B. Florinas
    Florinas is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • C. Thasus
    Thasus is a minor figure in Greek mythology, traditionally regarded as a son of the Phoenician king Agenor and associated with the island of Thasos.
  • D. Aleosan
    Aleosan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and diverse local communities.
  • E. Agathé
    Agathé is the ancient Greek name for the historic Mediterranean port city now known as Agde in southern France.
  • 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: Corisande
Triple: [Amadis, character, Corisande]
Generated description
Corisande is a noble lady and love interest in the medieval chivalric romance cycle "Amadis de Gaula."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Corisande
Target entity description: Corisande is a noble lady and love interest in the medieval chivalric romance cycle "Amadis de Gaula."
  • A. Arsacia
    Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
  • B. Florinas
    Florinas is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
  • C. Thasus
    Thasus is a minor figure in Greek mythology, traditionally regarded as a son of the Phoenician king Agenor and associated with the island of Thasos.
  • D. Aleosan
    Aleosan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known for its agricultural economy and diverse local communities.
  • E. Agathé
    Agathé is the ancient Greek name for the historic Mediterranean port city now known as Agde in southern France.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91eeb7ac8190bf2e02f7946bf2bf completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41465c3c8190a58350f39d626e54 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41efb7748190acefa796eb4e4bed completed March 22, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf42654a108190b271f78616eea25a completed March 22, 2026, 1:14 a.m.
Created at: March 20, 2026, 2:08 p.m.