Triple

T10966576
Position Surface form Disambiguated ID Type / Status
Subject Harding E259114 entity
Predicate hasNotableBearer P458 FINISHED
Object Keith Harding
Keith Harding is a British author best known for writing graded readers and English language teaching materials.
E905366 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: Keith Harding | Statement: [Harding, hasNotableBearer, Keith Harding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keith Harding
Context triple: [Harding, hasNotableBearer, Keith Harding]
  • A. David Harding
    David Harding is a British billionaire hedge fund manager and philanthropist, best known as the founder of the quantitative investment firm Winton Group.
  • B. Chris Harding
    Chris Harding is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • C. Neil Harding
    Neil Harding is a relatively obscure individual whose name appears in records or references but who is not widely recognized as a public figure.
  • D. Justin W. Harding
    Justin W. Harding was a judge who served on the American military tribunal during the High Command Trial of senior German officers after World War II.
  • E. Andrew Hines
    Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
  • 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: Keith Harding
Triple: [Harding, hasNotableBearer, Keith Harding]
Generated description
Keith Harding is a British author best known for writing graded readers and English language teaching materials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keith Harding
Target entity description: Keith Harding is a British author best known for writing graded readers and English language teaching materials.
  • A. David Harding
    David Harding is a British billionaire hedge fund manager and philanthropist, best known as the founder of the quantitative investment firm Winton Group.
  • B. Chris Harding
    Chris Harding is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • C. Neil Harding
    Neil Harding is a relatively obscure individual whose name appears in records or references but who is not widely recognized as a public figure.
  • D. Justin W. Harding
    Justin W. Harding was a judge who served on the American military tribunal during the High Command Trial of senior German officers after World War II.
  • E. Andrew Hines
    Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77149c0448190a66322fa696fdbda completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d548b4481909dc73f834c704d44 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42f3dd02c8190b40bc692c24b2ff4 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e4375eaf448190a17f8df1e83145e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:24 p.m.