Triple
T6350546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sutherland |
E142857
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Anne Sutherland
Anne Sutherland is a Scottish operatic soprano renowned for her powerful voice and interpretations of bel canto repertoire.
|
E628726
|
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 Sutherland | Statement: [Sutherland, notableBearer, Anne Sutherland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Sutherland Context triple: [Sutherland, notableBearer, Anne Sutherland]
-
A.
Mary McDougall
Mary McDougall is known primarily as the daughter of American Revolutionary War officer and political leader Alexander McDougall.
-
B.
Mary Ansell
Mary Ansell was an English actress best known as the first wife of playwright J. M. Barrie, the creator of Peter Pan.
-
C.
Elspeth Thomson
Elspeth Thomson was the wife of Scottish author Kenneth Grahame, best known for his classic children’s novel "The Wind in the Willows."
-
D.
Maria Aitken
Maria Aitken is a British actress and director known for her work in film, television, and theatre, as well as for her acclaimed stage direction and teaching.
-
E.
Sarah Sutton
Sarah Sutton is a British actress best known for playing the Fifth Doctor’s companion Nyssa in the long-running science fiction television series Doctor Who.
- 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 Sutherland Triple: [Sutherland, notableBearer, Anne Sutherland]
Generated description
Anne Sutherland is a Scottish operatic soprano renowned for her powerful voice and interpretations of bel canto repertoire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Sutherland Target entity description: Anne Sutherland is a Scottish operatic soprano renowned for her powerful voice and interpretations of bel canto repertoire.
-
A.
Mary McDougall
Mary McDougall is known primarily as the daughter of American Revolutionary War officer and political leader Alexander McDougall.
-
B.
Mary Ansell
Mary Ansell was an English actress best known as the first wife of playwright J. M. Barrie, the creator of Peter Pan.
-
C.
Elspeth Thomson
Elspeth Thomson was the wife of Scottish author Kenneth Grahame, best known for his classic children’s novel "The Wind in the Willows."
-
D.
Maria Aitken
Maria Aitken is a British actress and director known for her work in film, television, and theatre, as well as for her acclaimed stage direction and teaching.
-
E.
Sarah Sutton
Sarah Sutton is a British actress best known for playing the Fifth Doctor’s companion Nyssa in the long-running science fiction television series Doctor Who.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dc2790819084aaf7067dc25733 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75101ed10819083d0414fd8b6d86e |
completed | March 28, 2026, 3:54 a.m. |
| NEDg | Description generation | batch_69c752065b808190bf95333afb42b730 |
completed | March 28, 2026, 3:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7528ddd1c8190964a072741315afe |
completed | March 28, 2026, 4:01 a.m. |
Created at: March 22, 2026, 4:31 p.m.