Triple
T18542760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The City Heiress |
E453140
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Dresswell
Dresswell is a character in Aphra Behn’s Restoration comedy *The City Heiress*, typically portrayed as a fashionable, socially ambitious figure within the play’s London high society.
|
E1331084
|
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: Dresswell | Statement: [The City Heiress, hasCharacter, Dresswell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dresswell Context triple: [The City Heiress, hasCharacter, Dresswell]
-
A.
Doyall
Doyall is a less common variant spelling of the surname Doyle, which is of Irish origin.
-
B.
Hawkwell
Hawkwell is a village and civil parish in the Rochford District of Essex, England, known for its residential character and proximity to the town of Rochford.
-
C.
Heseltine
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
-
D.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
E.
Challis
Challis is an English surname borne by various notable individuals across fields such as cinematography, science, and public service.
- 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: Dresswell Triple: [The City Heiress, hasCharacter, Dresswell]
Generated description
Dresswell is a character in Aphra Behn’s Restoration comedy *The City Heiress*, typically portrayed as a fashionable, socially ambitious figure within the play’s London high society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dresswell Target entity description: Dresswell is a character in Aphra Behn’s Restoration comedy *The City Heiress*, typically portrayed as a fashionable, socially ambitious figure within the play’s London high society.
-
A.
Doyall
Doyall is a less common variant spelling of the surname Doyle, which is of Irish origin.
-
B.
Hawkwell
Hawkwell is a village and civil parish in the Rochford District of Essex, England, known for its residential character and proximity to the town of Rochford.
-
C.
Heseltine
Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
-
D.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
E.
Challis
Challis is an English surname borne by various notable individuals across fields such as cinematography, science, and public service.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534b80fc081908488417787d1b166 |
completed | April 19, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049ad9d8108190b7251f293563a056 |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049d1fabfc8190ade010ba5d2a2c1b |
completed | May 13, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049f83689c81908e02646a157c80d4 |
completed | May 13, 2026, 3:57 p.m. |
Created at: April 10, 2026, 11:38 a.m.