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.