Triple
T16221941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice Cahen d’Anvers |
E393749
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Louise de Morpurgo
Louise de Morpurgo was a French Jewish heiress and socialite of the prominent Cahen d’Anvers banking family.
|
E1200471
|
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: Louise de Morpurgo | Statement: [Alice Cahen d’Anvers, mother, Louise de Morpurgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise de Morpurgo Context triple: [Alice Cahen d’Anvers, mother, Louise de Morpurgo]
-
A.
Elizabeth Yonge
Elizabeth Yonge was the wife of British Army officer and colonial administrator Sir John Colborne, later Lord Seaton.
-
B.
Louisa Hurst
Louisa Hurst is a minor character in Jane Austen’s novel "Pride and Prejudice," known as the married sister of Caroline Bingley who participates in the social life surrounding Netherfield Park.
-
C.
Louise Burton
Louise Burton is best known as the wife of English actor Daniel Mays.
-
D.
Mary Lloyd
Mary Lloyd is a personal name shared by multiple individuals, including figures in fields such as the arts, military, and public life.
-
E.
Maud Chaworth
Maud Chaworth was an English noblewoman and heiress of the early 14th century whose estates and lineage significantly strengthened the power and influence of the House of Lancaster.
- 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: Louise de Morpurgo Triple: [Alice Cahen d’Anvers, mother, Louise de Morpurgo]
Generated description
Louise de Morpurgo was a French Jewish heiress and socialite of the prominent Cahen d’Anvers banking family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louise de Morpurgo Target entity description: Louise de Morpurgo was a French Jewish heiress and socialite of the prominent Cahen d’Anvers banking family.
-
A.
Elizabeth Yonge
Elizabeth Yonge was the wife of British Army officer and colonial administrator Sir John Colborne, later Lord Seaton.
-
B.
Louisa Hurst
Louisa Hurst is a minor character in Jane Austen’s novel "Pride and Prejudice," known as the married sister of Caroline Bingley who participates in the social life surrounding Netherfield Park.
-
C.
Louise Burton
Louise Burton is best known as the wife of English actor Daniel Mays.
-
D.
Mary Lloyd
Mary Lloyd is a personal name shared by multiple individuals, including figures in fields such as the arts, military, and public life.
-
E.
Maud Chaworth
Maud Chaworth was an English noblewoman and heiress of the early 14th century whose estates and lineage significantly strengthened the power and influence of the House of Lancaster.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fcf058819099d5ff965cc2c267 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079a5c1481909485e1b4a41f5d2c |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a0008d53b6081908d66b2c09e8b2565 |
completed | May 10, 2026, 4:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00096cabec81908fec25052e9cf4f8 |
completed | May 10, 2026, 4:28 a.m. |
Created at: April 10, 2026, 5:03 a.m.