Triple
T4373577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Isabella Milbanke |
E98951
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Anne Isabella
Anne Isabella was an English aristocrat and mathematician best known as the wife of the poet Lord Byron and the mother of computing pioneer Ada Lovelace.
|
E434890
|
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: Anne Isabella | Statement: [Anne Isabella Milbanke, givenName, Anne Isabella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Isabella Context triple: [Anne Isabella Milbanke, givenName, Anne Isabella]
-
A.
Mary Adelaide
Mary Adelaide was a British princess of the House of Hanover, mother of Queen Mary and grandmother of King George VI and great-grandmother of Queen Elizabeth II.
-
B.
Elisabeth
Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
-
C.
Elisabeth
Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
-
D.
Lucy Russell
Lucy Russell is a British actress known for her roles in films such as "Following" and "Angel."
-
E.
Louisa Gummer
Louisa Gummer is an American model and the daughter of actress Meryl Streep, known for her work in high-fashion campaigns and runway shows.
- 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: Anne Isabella Triple: [Anne Isabella Milbanke, givenName, Anne Isabella]
Generated description
Anne Isabella was an English aristocrat and mathematician best known as the wife of the poet Lord Byron and the mother of computing pioneer Ada Lovelace.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Isabella Target entity description: Anne Isabella was an English aristocrat and mathematician best known as the wife of the poet Lord Byron and the mother of computing pioneer Ada Lovelace.
-
A.
Mary Adelaide
Mary Adelaide was a British princess of the House of Hanover, mother of Queen Mary and grandmother of King George VI and great-grandmother of Queen Elizabeth II.
-
B.
Elisabeth
Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
-
C.
Elisabeth
Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
-
D.
Lucy Russell
Lucy Russell is a British actress known for her roles in films such as "Following" and "Angel."
-
E.
Louisa Gummer
Louisa Gummer is an American model and the daughter of actress Meryl Streep, known for her work in high-fashion campaigns and runway shows.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35220fa648190b116e786783a7eba |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e512350081908da06038e3080a3e |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5e58d77d88190b59e372eeec35195 |
completed | March 14, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e5fa68c08190a482cb7ea9030515 |
completed | March 14, 2026, 10:49 p.m. |
Created at: March 12, 2026, 11:17 p.m.