Triple
T12161253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Landor Dickens |
E289710
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Kate Perugini |
E283925
|
NE FINISHED |
How this triple was built (2 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: [Walter Landor Dickens, relative, Kate Perugini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Perugini Context triple: [Walter Landor Dickens, relative, Kate Perugini]
-
A.
Kate Perugini
chosen
Kate Perugini was a British painter and the daughter of novelist Charles Dickens, known for her portrait work and connections within Victorian artistic circles.
-
B.
Regina Peruggi
Regina Peruggi is an American educator and academic administrator who has served as president of Kingsborough Community College in New York City.
-
C.
Gina Ruberti
Gina Ruberti was the wife of Bruno Mussolini, the son of Italian dictator Benito Mussolini.
-
D.
Christine Toretti
Christine Toretti is an American businesswoman and political donor known for her leadership in the energy industry and involvement in Republican Party politics.
-
E.
Anna Comarella
Anna Comarella is an Italian cross-country skier who has represented Italy in major international competitions, including the Winter Olympics and World Cup events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c395e48190a16e97fd29787a51 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e4deb308190aa1a99a78d46b461 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:50 p.m.