Triple
T2605004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Dickens |
E58638
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Kate Perugini
Kate Perugini was a British painter and the daughter of novelist Charles Dickens, known for her portrait work and connections within Victorian artistic circles.
|
E283925
|
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: Kate Perugini | Statement: [Charles Dickens, child, Kate Perugini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Perugini Context triple: [Charles Dickens, child, Kate Perugini]
-
A.
Gina Ruberti
Gina Ruberti was the wife of Bruno Mussolini, the son of Italian dictator Benito Mussolini.
-
B.
Thea Almerigotti
Thea Almerigotti was the wife of Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
-
C.
Laura Martinozzi
Laura Martinozzi was an Italian noblewoman and duchess of Modena, a niece of Cardinal Mazarin and a politically influential figure in 17th-century Italy.
-
D.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
E.
Tharita Cesaroni
Tharita Cesaroni is an Italian film producer and cinematographer known for her work behind the camera and for being married to actor Dermot Mulroney.
- 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: Kate Perugini Triple: [Charles Dickens, child, Kate Perugini]
Generated description
Kate Perugini was a British painter and the daughter of novelist Charles Dickens, known for her portrait work and connections within Victorian artistic circles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Perugini Target entity description: Kate Perugini was a British painter and the daughter of novelist Charles Dickens, known for her portrait work and connections within Victorian artistic circles.
-
A.
Gina Ruberti
Gina Ruberti was the wife of Bruno Mussolini, the son of Italian dictator Benito Mussolini.
-
B.
Thea Almerigotti
Thea Almerigotti was the wife of Fiorello H. La Guardia, the influential three-term mayor of New York City in the early 20th century.
-
C.
Laura Martinozzi
Laura Martinozzi was an Italian noblewoman and duchess of Modena, a niece of Cardinal Mazarin and a politically influential figure in 17th-century Italy.
-
D.
Angelica Galante
Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
-
E.
Tharita Cesaroni
Tharita Cesaroni is an Italian film producer and cinematographer known for her work behind the camera and for being married to actor Dermot Mulroney.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd864958c8190b3ad6123f1ac78ca |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af907ebc348190b1556a2104cba6f1 |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af90f63dac8190b3282b5029d22fab |
completed | March 10, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af918e7b50819082f37f9cdb3271a2 |
completed | March 10, 2026, 3:35 a.m. |
Created at: March 6, 2026, 9:49 p.m.