Triple
T17439194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Daze |
E424102
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Sarah Buxton
Sarah Buxton is an American country music singer-songwriter known for both her own recordings and for writing hit songs for other artists.
|
E1325272
|
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: Sarah Buxton | Statement: [Sun Daze, writer, Sarah Buxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Buxton Context triple: [Sun Daze, writer, Sarah Buxton]
-
A.
Sarah Troughton
Sarah Troughton is a British public figure and member of the extended royal family who serves as the ceremonial representative of the Crown in Wiltshire.
-
B.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
-
C.
Emily Barclay
Emily Barclay is a New Zealand-born actress known for her acclaimed performances in independent films and television dramas.
-
D.
Sarah Barlow
Sarah Barlow is a photographer and graphic designer known for creating album cover art, including the artwork for Sara Bareilles' album "The Blessed Unrest."
-
E.
Sarah Brunsden
Sarah Brunsden was the wife of Sir John Copley, a British legal figure who served as Lord Chancellor in the early 19th century.
- 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: Sarah Buxton Triple: [Sun Daze, writer, Sarah Buxton]
Generated description
Sarah Buxton is an American country music singer-songwriter known for both her own recordings and for writing hit songs for other artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Buxton Target entity description: Sarah Buxton is an American country music singer-songwriter known for both her own recordings and for writing hit songs for other artists.
-
A.
Sarah Troughton
Sarah Troughton is a British public figure and member of the extended royal family who serves as the ceremonial representative of the Crown in Wiltshire.
-
B.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
-
C.
Emily Barclay
Emily Barclay is a New Zealand-born actress known for her acclaimed performances in independent films and television dramas.
-
D.
Sarah Barlow
Sarah Barlow is a photographer and graphic designer known for creating album cover art, including the artwork for Sara Bareilles' album "The Blessed Unrest."
-
E.
Sarah Brunsden
Sarah Brunsden was the wife of Sir John Copley, a British legal figure who served as Lord Chancellor in the early 19th century.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff584cc81908207c163f19ff972 |
completed | April 19, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fc34f4c8190a1ae536e544b2543 |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a04123430308190af22a11b2151c8b8 |
completed | May 13, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04131eb4988190af4024bfcad648bc |
completed | May 13, 2026, 5:58 a.m. |
Created at: April 10, 2026, 5:46 a.m.