Triple

T10966584
Position Surface form Disambiguated ID Type / Status
Subject Harding E259114 entity
Predicate hasNotableBearer P458 FINISHED
Object Ted Harding
Ted Harding is a notable individual recognized for achievements significant enough to distinguish him among others sharing the Harding surname.
E902293 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: Ted Harding | Statement: [Harding, hasNotableBearer, Ted Harding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Harding
Context triple: [Harding, hasNotableBearer, Ted Harding]
  • A. Charles Harding
    Charles Harding was an architect known for designing the Golden Dome.
  • B. Ted Hardie
    Ted Hardie is an Internet engineering expert and long-time IETF leader known for his work on real-time communications and web technologies.
  • C. George Harding
    George Harding was an architect known for designing the historic Chennai Central railway station in India.
  • D. 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.
  • E. Allan Harding
    Allan Harding is a Canadian competitive shooter known for representing Canada in international rifle events, including the ISSF World Cup and Pan American Games.
  • 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: Ted Harding
Triple: [Harding, hasNotableBearer, Ted Harding]
Generated description
Ted Harding is a notable individual recognized for achievements significant enough to distinguish him among others sharing the Harding surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ted Harding
Target entity description: Ted Harding is a notable individual recognized for achievements significant enough to distinguish him among others sharing the Harding surname.
  • A. Charles Harding
    Charles Harding was an architect known for designing the Golden Dome.
  • B. Ted Hardie
    Ted Hardie is an Internet engineering expert and long-time IETF leader known for his work on real-time communications and web technologies.
  • C. George Harding
    George Harding was an architect known for designing the historic Chennai Central railway station in India.
  • D. 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.
  • E. Allan Harding
    Allan Harding is a Canadian competitive shooter known for representing Canada in international rifle events, including the ISSF World Cup and Pan American Games.
  • 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_69e3c80ada908190a244eccc2b48df60 completed April 18, 2026, 6:06 p.m.
NEDg Description generation batch_69e3ca36528081908dd0db5063e90b3b completed April 18, 2026, 6:15 p.m.
NED2 Entity disambiguation (via description) batch_69e3cf08cf108190966b4abd0514a6ea completed April 18, 2026, 6:35 p.m.
Created at: April 8, 2026, 9:24 p.m.