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.