Triple

T3949401
Position Surface form Disambiguated ID Type / Status
Subject Ken Follett E84825 entity
Predicate hasChild P369 FINISHED
Object Adam Follett
Adam Follett is one of the children of bestselling British novelist Ken Follett.
 E401409 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: Adam Follett | Statement: [Ken Follett, hasChild, Adam Follett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adam Follett
Context triple: [Ken Follett, hasChild, Adam Follett]
  • A. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • B. David Ford
    David Ford is a Northern Irish politician and former leader of the Alliance Party who became the first person to serve as Northern Ireland’s Minister of Justice after the devolution of policing and justice powers.
  • C. Ian Wolfe
    Ian Wolfe was an American character actor known for his prolific career in film and television from the 1930s through the 1980s, often portraying dignified or scholarly supporting roles.
  • D. Daniel Ford
    Daniel Ford was a 19th-century American editor and publisher best known for shaping the influential family magazine The Youth's Companion.
  • E. John Applegate
    John Applegate was a 19th-century American pioneer and explorer associated with the development of overland emigrant routes in the western United States.
  • 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: Adam Follett
Triple: [Ken Follett, hasChild, Adam Follett]
Generated description
Adam Follett is one of the children of bestselling British novelist Ken Follett.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adam Follett
Target entity description: Adam Follett is one of the children of bestselling British novelist Ken Follett.
  • A. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • B. David Ford
    David Ford is a Northern Irish politician and former leader of the Alliance Party who became the first person to serve as Northern Ireland’s Minister of Justice after the devolution of policing and justice powers.
  • C. Ian Wolfe
    Ian Wolfe was an American character actor known for his prolific career in film and television from the 1930s through the 1980s, often portraying dignified or scholarly supporting roles.
  • D. Daniel Ford
    Daniel Ford was a 19th-century American editor and publisher best known for shaping the influential family magazine The Youth's Companion.
  • E. John Applegate
    John Applegate was a 19th-century American pioneer and explorer associated with the development of overland emigrant routes in the western United States.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef910ecc08190a4fca89bcf063e0c completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5339feb4c8190ad96a5680cb5294e completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b5346fb3648190b2b72e10179588ed completed March 14, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_69b534e98b8081909c2b71ff20fe0bb4 completed March 14, 2026, 10:14 a.m.
Created at: March 9, 2026, 3:30 p.m.