Triple

T10966582
Position Surface form Disambiguated ID Type / Status
Subject Harding E259114 entity
Predicate hasNotableBearer P458 FINISHED
Object Robert Harding
Robert Harding is a relatively common personal name that may refer to multiple individuals across various fields, rather than a single widely recognized public figure.
E901902 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: Robert Harding | Statement: [Harding, hasNotableBearer, Robert Harding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Harding
Context triple: [Harding, hasNotableBearer, Robert Harding]
  • A. Charles Harding
    Charles Harding was an architect known for designing the Golden Dome.
  • B. Karl Harding
    Karl Harding is a relatively obscure individual whose name is notably associated with the surname Harding but who lacks widely documented public recognition.
  • C. Edward Worthington
    Edward Worthington is a relatively obscure individual known primarily for sharing the historically rooted English surname Worthington.
  • D. George Harding
    George Harding was an architect known for designing the historic Chennai Central railway station in India.
  • E. Philip Hardwick
    Philip Hardwick was a prominent 19th-century English architect known for his influential industrial and railway architecture, including major works in London and Liverpool.
  • 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: Robert Harding
Triple: [Harding, hasNotableBearer, Robert Harding]
Generated description
Robert Harding is a relatively common personal name that may refer to multiple individuals across various fields, rather than a single widely recognized public figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert Harding
Target entity description: Robert Harding is a relatively common personal name that may refer to multiple individuals across various fields, rather than a single widely recognized public figure.
  • A. Charles Harding
    Charles Harding was an architect known for designing the Golden Dome.
  • B. Karl Harding
    Karl Harding is a relatively obscure individual whose name is notably associated with the surname Harding but who lacks widely documented public recognition.
  • C. Edward Worthington
    Edward Worthington is a relatively obscure individual known primarily for sharing the historically rooted English surname Worthington.
  • D. George Harding
    George Harding was an architect known for designing the historic Chennai Central railway station in India.
  • E. Philip Hardwick
    Philip Hardwick was a prominent 19th-century English architect known for his influential industrial and railway architecture, including major works in London and Liverpool.
  • 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_69e3a94466bc8190b4d4db70083ab5a5 completed April 18, 2026, 3:54 p.m.
NEDg Description generation batch_69e3abe492388190a2f5752f6bad1220 completed April 18, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1efe4a88190884eb5186954cf39 completed April 18, 2026, 4:31 p.m.
Created at: April 8, 2026, 9:24 p.m.