Triple
T13079403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sad Fortunes of the Reverend Amos Barton |
E310162
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Countess Czerlaski
Countess Czerlaski is a mysterious and socially disruptive aristocratic woman in George Eliot’s novella "The Sad Fortunes of the Reverend Amos Barton," whose presence in the parish contributes to the clergyman’s troubles.
|
E1020519
|
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: Countess Czerlaski | Statement: [The Sad Fortunes of the Reverend Amos Barton, mainCharacter, Countess Czerlaski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Countess Czerlaski Context triple: [The Sad Fortunes of the Reverend Amos Barton, mainCharacter, Countess Czerlaski]
-
A.
Countess Maria Carolina Zamoyska
Countess Maria Carolina Zamoyska was a Polish noblewoman of the influential Zamoyski family and the mother of Prince Ferdinand, Duke of Castro, a claimant to the headship of the House of Bourbon-Two Sicilies.
-
B.
Comtesse Laginska
Comtesse Laginska is a central fictional noblewoman in Honoré de Balzac’s novel "La Fausse Maîtresse," noted for her role in the intricate social and emotional intrigues of the story.
-
C.
Countess Anna Maria Komorowska
Countess Anna Maria Komorowska is a Polish-born aristocrat and the maternal grandmother of Prince Gabriel of Belgium, connected to the Belgian royal family through her daughter, Queen Mathilde.
-
D.
Countess Elisabeth Dobrzensky de Dobrzenicz
Countess Elisabeth Dobrzensky de Dobrzenicz was a Bohemian noblewoman best known as the morganatic wife of Prince Pedro de Alcântara of Orléans-Braganza, a Brazilian imperial prince.
-
E.
Countess Andrenyi
Countess Andrenyi is a refined and enigmatic Hungarian noblewoman who becomes a key suspect in Agatha Christie’s classic detective novel "Murder on the Orient Express."
- 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: Countess Czerlaski Triple: [The Sad Fortunes of the Reverend Amos Barton, mainCharacter, Countess Czerlaski]
Generated description
Countess Czerlaski is a mysterious and socially disruptive aristocratic woman in George Eliot’s novella "The Sad Fortunes of the Reverend Amos Barton," whose presence in the parish contributes to the clergyman’s troubles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Countess Czerlaski Target entity description: Countess Czerlaski is a mysterious and socially disruptive aristocratic woman in George Eliot’s novella "The Sad Fortunes of the Reverend Amos Barton," whose presence in the parish contributes to the clergyman’s troubles.
-
A.
Countess Maria Carolina Zamoyska
Countess Maria Carolina Zamoyska was a Polish noblewoman of the influential Zamoyski family and the mother of Prince Ferdinand, Duke of Castro, a claimant to the headship of the House of Bourbon-Two Sicilies.
-
B.
Comtesse Laginska
Comtesse Laginska is a central fictional noblewoman in Honoré de Balzac’s novel "La Fausse Maîtresse," noted for her role in the intricate social and emotional intrigues of the story.
-
C.
Countess Anna Maria Komorowska
Countess Anna Maria Komorowska is a Polish-born aristocrat and the maternal grandmother of Prince Gabriel of Belgium, connected to the Belgian royal family through her daughter, Queen Mathilde.
-
D.
Countess Elisabeth Dobrzensky de Dobrzenicz
Countess Elisabeth Dobrzensky de Dobrzenicz was a Bohemian noblewoman best known as the morganatic wife of Prince Pedro de Alcântara of Orléans-Braganza, a Brazilian imperial prince.
-
E.
Countess Andrenyi
Countess Andrenyi is a refined and enigmatic Hungarian noblewoman who becomes a key suspect in Agatha Christie’s classic detective novel "Murder on the Orient Express."
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98119cb7081908b78ffe83ec99851 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60c603881909dff49f4356042b5 |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d86562f88190afd1fe49c4632e09 |
completed | May 3, 2026, 5:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d9486d748190bc5e2927bc36993e |
completed | May 3, 2026, 5:12 a.m. |
Created at: April 9, 2026, 9:01 p.m.