Triple
T14252175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Mays |
E353295
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Louise Burton
Louise Burton is best known as the wife of English actor Daniel Mays.
|
E1098307
|
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 Burton | Statement: [Daniel Mays, spouse, Louise Burton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louise Burton Context triple: [Daniel Mays, spouse, Louise Burton]
-
A.
Louisa Burton
Louisa Burton was the wife of influential 19th-century English architect and designer Augustus Welby Northmore Pugin.
-
B.
Louise Boyd
Louise Boyd was an American Arctic explorer, photographer, and philanthropist known for leading several expeditions to Greenland in the early 20th century.
-
C.
Louise Newbury
Louise Newbury is the widow of American actor and filmmaker Bill Paxton, with whom she shared a long-term marriage and two children.
-
D.
Louise Saunders
Louise Saunders was an American writer and playwright best known for her marriage to influential editor Maxwell Perkins and for authoring children’s literature and stage works in the early 20th century.
-
E.
Doreen Brett
Doreen Brett was the wife of British comedian and actor Norman Wisdom.
- 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 Burton Triple: [Daniel Mays, spouse, Louise Burton]
Generated description
Louise Burton is best known as the wife of English actor Daniel Mays.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louise Burton Target entity description: Louise Burton is best known as the wife of English actor Daniel Mays.
-
A.
Louisa Burton
Louisa Burton was the wife of influential 19th-century English architect and designer Augustus Welby Northmore Pugin.
-
B.
Louise Boyd
Louise Boyd was an American Arctic explorer, photographer, and philanthropist known for leading several expeditions to Greenland in the early 20th century.
-
C.
Louise Newbury
Louise Newbury is the widow of American actor and filmmaker Bill Paxton, with whom she shared a long-term marriage and two children.
-
D.
Louise Saunders
Louise Saunders was an American writer and playwright best known for her marriage to influential editor Maxwell Perkins and for authoring children’s literature and stage works in the early 20th century.
-
E.
Doreen Brett
Doreen Brett was the wife of British comedian and actor Norman Wisdom.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd55008a5c8190b005a12df7ef2f75 |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5658f6c081908ab936c8a596f0d5 |
completed | May 8, 2026, 3:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd56c0821c8190bcd56754575671cb |
completed | May 8, 2026, 3:21 a.m. |
Created at: April 10, 2026, 1:08 a.m.