Triple
T21429722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciao Adios |
E528651
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Tom Barnes
Tom Barnes is a songwriter best known for co-writing the hit pop single "Ciao Adios" by Anne-Marie.
|
E1483879
|
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: Tom Barnes | Statement: [Ciao Adios, writer, Tom Barnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Barnes Context triple: [Ciao Adios, writer, Tom Barnes]
-
A.
Tom Barnes
Tom Barnes is a music producer known for his work on major pop and rock records, including projects with high-profile artists like Robbie Williams.
-
B.
James Martin Barnes
James Martin Barnes, better known as Jim Barnes, was a prominent early 20th-century professional golfer who won multiple major championships, including the inaugural PGA Championship.
-
C.
Tony Barton
Tony Barton was an English football manager best known for leading Aston Villa to victory in the 1982 European Cup.
-
D.
John Bunn
John Bunn was an American basketball coach and administrator known for his influential roles in college basketball and contributions to the sport’s development.
-
E.
Tom Bancroft
Tom Bancroft is an American animator, illustrator, and character designer best known for his work on Disney films such as "Mulan" and "The Lion King."
- 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: Tom Barnes Triple: [Ciao Adios, writer, Tom Barnes]
Generated description
Tom Barnes is a songwriter best known for co-writing the hit pop single "Ciao Adios" by Anne-Marie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Barnes Target entity description: Tom Barnes is a songwriter best known for co-writing the hit pop single "Ciao Adios" by Anne-Marie.
-
A.
Tom Barnes
Tom Barnes is a music producer known for his work on major pop and rock records, including projects with high-profile artists like Robbie Williams.
-
B.
James Martin Barnes
James Martin Barnes, better known as Jim Barnes, was a prominent early 20th-century professional golfer who won multiple major championships, including the inaugural PGA Championship.
-
C.
Tony Barton
Tony Barton was an English football manager best known for leading Aston Villa to victory in the 1982 European Cup.
-
D.
John Bunn
John Bunn was an American basketball coach and administrator known for his influential roles in college basketball and contributions to the sport’s development.
-
E.
Tom Bancroft
Tom Bancroft is an American animator, illustrator, and character designer best known for his work on Disney films such as "Mulan" and "The Lion King."
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2ac2d188190b909826855b4d132 |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c33c37e88190b559bbf98e589487 |
completed | May 17, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c3c6a208819096b2e4a2c92b3cb0 |
completed | May 17, 2026, 1:33 p.m. |
Created at: April 16, 2026, 5:49 p.m.