Triple
T11507804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Cayley |
E272830
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Susan Moline
Susan Moline was the wife of 19th-century British mathematician Arthur Cayley.
|
E1122312
|
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: Susan Moline | Statement: [Arthur Cayley, spouse, Susan Moline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Moline Context triple: [Arthur Cayley, spouse, Susan Moline]
-
A.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
-
B.
Susan Duerden
Susan Duerden is a British actress known for her voice and screen roles in film, television, and audio productions.
-
C.
Carol Laise
Carol Laise was an American diplomat and educator who notably served as U.S. Ambassador to Nepal and later held senior positions in the U.S. State Department.
-
D.
Diane Millstead
Diane Millstead is an Australian academic and writer best known as the former wife of comedian and satirist Barry Humphries.
-
E.
Marilee Fiebig
Marilee Fiebig is an American attorney and immigration lawyer who has also worked as a fashion and entertainment industry executive.
- 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: Susan Moline Triple: [Arthur Cayley, spouse, Susan Moline]
Generated description
Susan Moline was the wife of 19th-century British mathematician Arthur Cayley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Moline Target entity description: Susan Moline was the wife of 19th-century British mathematician Arthur Cayley.
-
A.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
-
B.
Susan Duerden
Susan Duerden is a British actress known for her voice and screen roles in film, television, and audio productions.
-
C.
Carol Laise
Carol Laise was an American diplomat and educator who notably served as U.S. Ambassador to Nepal and later held senior positions in the U.S. State Department.
-
D.
Diane Millstead
Diane Millstead is an Australian academic and writer best known as the former wife of comedian and satirist Barry Humphries.
-
E.
Marilee Fiebig
Marilee Fiebig is an American attorney and immigration lawyer who has also worked as a fashion and entertainment industry executive.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db43a648190be859bec2fe9f43b |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe387a261c8190a9ac11d6e4e7b29c |
completed | May 8, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69fe50fc9cd8819096f462d42c32649d |
completed | May 8, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe51564acc8190b2ebe89183f2b549 |
completed | May 8, 2026, 9:10 p.m. |
Created at: April 8, 2026, 9:36 p.m.