Triple

T16841662
Position Surface form Disambiguated ID Type / Status
Subject Emma Barnett E409426 entity
Predicate spouse P13 FINISHED
Object Dan Jones
Dan Jones is a British historian, journalist, and television presenter known for his popular works on medieval and Tudor history.
E1237017 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: Dan Jones | Statement: [Emma Barnett, spouse, Dan Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Jones
Context triple: [Emma Barnett, spouse, Dan Jones]
  • A. Dan Jones
    Dan Jones is a British composer and sound designer known for his award-winning scores for film, television, and theatre.
  • B. Stan Jones
    Stan Jones was an American songwriter and actor best known for writing the classic Western song "Ghost Riders in the Sky."
  • C. Richard Jones
    Richard Jones is the longtime bassist for the Welsh rock band Stereophonics.
  • D. Richard Jones
    Richard Jones was a 16th-century London printer and publisher known for issuing early editions of important Elizabethan works, including Christopher Marlowe’s "Tamburlaine."
  • E. Richard Jones
    Richard Jones was an English Baroque composer and violinist active in the early 18th century, known for his theatrical and instrumental music.
  • 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: Dan Jones
Triple: [Emma Barnett, spouse, Dan Jones]
Generated description
Dan Jones is a British historian, journalist, and television presenter known for his popular works on medieval and Tudor history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan Jones
Target entity description: Dan Jones is a British historian, journalist, and television presenter known for his popular works on medieval and Tudor history.
  • A. Dan Jones
    Dan Jones is a British composer and sound designer known for his award-winning scores for film, television, and theatre.
  • B. Stan Jones
    Stan Jones was an American songwriter and actor best known for writing the classic Western song "Ghost Riders in the Sky."
  • C. Richard Jones
    Richard Jones is the longtime bassist for the Welsh rock band Stereophonics.
  • D. Richard Jones
    Richard Jones was a 16th-century London printer and publisher known for issuing early editions of important Elizabethan works, including Christopher Marlowe’s "Tamburlaine."
  • E. Richard Jones
    Richard Jones was an English Baroque composer and violinist active in the early 18th century, known for his theatrical and instrumental music.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b35167a48190b45a459023e3ab1b completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb199168819080a9ddc7534f19a7 completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bc22dc1c81909edc5cdb239f0ea8 completed May 10, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_6a00bce879648190acbd5645cd1a4ec8 completed May 10, 2026, 5:14 p.m.
Created at: April 10, 2026, 5:24 a.m.