Triple
T4639812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evers |
E101623
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Stuart Evers
Stuart Evers is a British writer and critic known for his short stories and novels exploring contemporary life and relationships.
|
E471337
|
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: Stuart Evers | Statement: [Evers, notableBearer, Stuart Evers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Evers Context triple: [Evers, notableBearer, Stuart Evers]
-
A.
Stuart Browning
Stuart Browning is an entrepreneur best known as a co-founder of the software company Embarcadero Technologies.
-
B.
Colin Englert
Colin Englert is an Australian filmmaker and assistant director best known for his work in film and television and for his former marriage to acclaimed director Jane Campion.
-
C.
Kirk Stievely
Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
-
D.
Marc Eversley
Marc Eversley is a Canadian basketball executive known for serving as the general manager of the NBA’s Chicago Bulls.
-
E.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
- 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: Stuart Evers Triple: [Evers, notableBearer, Stuart Evers]
Generated description
Stuart Evers is a British writer and critic known for his short stories and novels exploring contemporary life and relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stuart Evers Target entity description: Stuart Evers is a British writer and critic known for his short stories and novels exploring contemporary life and relationships.
-
A.
Stuart Browning
Stuart Browning is an entrepreneur best known as a co-founder of the software company Embarcadero Technologies.
-
B.
Colin Englert
Colin Englert is an Australian filmmaker and assistant director best known for his work in film and television and for his former marriage to acclaimed director Jane Campion.
-
C.
Kirk Stievely
Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
-
D.
Marc Eversley
Marc Eversley is a Canadian basketball executive known for serving as the general manager of the NBA’s Chicago Bulls.
-
E.
Chris Stolte
Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a8e0ee88190becab97d2ef1571a |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d739e9c8190b7fffe68a3b54de5 |
completed | March 21, 2026, 7:49 a.m. |
| NEDg | Description generation | batch_69be4e1891408190adc09699d0347cbd |
completed | March 21, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4ef501e081908a75547e9bb52c0c |
completed | March 21, 2026, 7:55 a.m. |
Created at: March 20, 2026, 1:14 p.m.