Triple

T5641779
Position Surface form Disambiguated ID Type / Status
Subject Maria Edgeworth E124282 entity
Predicate notableWork P4 FINISHED
Object Belinda
"Belinda" is an 1801 novel by Maria Edgeworth that explores themes of female education, marriage, and social manners in early 19th-century British society.
E535241 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: Belinda | Statement: [Maria Edgeworth, notableWork, Belinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belinda
Context triple: [Maria Edgeworth, notableWork, Belinda]
  • A. Belinda
    Belinda is a central female character in John Vanbrugh’s Restoration comedy "The Provoked Wife," known for her wit and involvement in the play’s marital and social intrigues.
  • B. Belinda
    Belinda is a lively, hot-tempered but good-hearted schoolgirl character from Enid Blyton’s Malory Towers series.
  • C. Belinda
    Belinda is a feminine given name most notably borne by American singer Belinda Carlisle, the lead vocalist of the Go-Go's.
  • D. Anastacia
    Anastacia is an American pop singer-songwriter known for her powerful mezzo-soprano voice and international hits in the early 2000s.
  • E. Mya
    Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern 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: Belinda
Triple: [Maria Edgeworth, notableWork, Belinda]
Generated description
"Belinda" is an 1801 novel by Maria Edgeworth that explores themes of female education, marriage, and social manners in early 19th-century British society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belinda
Target entity description: "Belinda" is an 1801 novel by Maria Edgeworth that explores themes of female education, marriage, and social manners in early 19th-century British society.
  • A. Belinda
    Belinda is a central female character in John Vanbrugh’s Restoration comedy "The Provoked Wife," known for her wit and involvement in the play’s marital and social intrigues.
  • B. Belinda
    Belinda is a lively, hot-tempered but good-hearted schoolgirl character from Enid Blyton’s Malory Towers series.
  • C. Belinda
    Belinda is a feminine given name most notably borne by American singer Belinda Carlisle, the lead vocalist of the Go-Go's.
  • D. Anastacia
    Anastacia is an American pop singer-songwriter known for her powerful mezzo-soprano voice and international hits in the early 2000s.
  • E. Mya
    Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c02286a14481908703ec1741343b76 completed March 22, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d7c98008190b79528596eca4208 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04edaa7408190811007d27549a35d completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ff40ce88190a9aa8886c22386e1 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:41 p.m.