Triple

T7043731
Position Surface form Disambiguated ID Type / Status
Subject The Faerie Queene E163577 entity
Predicate featuresCharacter P626 FINISHED
Object Duessa
Duessa is a deceitful sorceress and allegorical embodiment of falsehood and duplicity in Edmund Spenser’s epic poem *The Faerie Queene*.
 E639293 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: Duessa | Statement: [The Faerie Queene, featuresCharacter, Duessa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duessa
Context triple: [The Faerie Queene, featuresCharacter, Duessa]
  • A. Vilaine
    The Vilaine is a major river in western France that flows through the city of Rennes before emptying into the Atlantic Ocean.
  • B. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • C. Bardaï
    Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
  • D. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • E. Maasdriel
    Maasdriel is a municipality in the province of Gelderland in the Netherlands, known for its rural landscape along the river Maas and its collection of small villages.
  • 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: Duessa
Triple: [The Faerie Queene, featuresCharacter, Duessa]
Generated description
Duessa is a deceitful sorceress and allegorical embodiment of falsehood and duplicity in Edmund Spenser’s epic poem *The Faerie Queene*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duessa
Target entity description: Duessa is a deceitful sorceress and allegorical embodiment of falsehood and duplicity in Edmund Spenser’s epic poem *The Faerie Queene*.
  • A. Vilaine
    The Vilaine is a major river in western France that flows through the city of Rennes before emptying into the Atlantic Ocean.
  • B. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • C. Bardaï
    Bardaï is a remote oasis town in northern Chad that serves as an important administrative and cultural center in the Tibesti region.
  • D. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • E. Maasdriel
    Maasdriel is a municipality in the province of Gelderland in the Netherlands, known for its rural landscape along the river Maas and its collection of small villages.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e235a2e08190bb049ee6e719f0f9 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887141ac81909cb5e996a89e4ec5 completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c78c46ec18819098a6d0b0e6e4ce8b completed March 28, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_69c78caca6dc8190bc03d285fbcd7910 completed March 28, 2026, 8:09 a.m.
Created at: March 27, 2026, 2:37 p.m.