Triple

T10966571
Position Surface form Disambiguated ID Type / Status
Subject Harding E259114 entity
Predicate hasNotableBearer P458 FINISHED
Object George Harding
George Harding is a relatively common personal name shared by multiple individuals across various professions and historical periods.
 E375282 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: George Harding | Statement: [Harding, hasNotableBearer, George Harding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George Harding
Context triple: [Harding, hasNotableBearer, George Harding]
  • A. George Harding
    George Harding was an architect known for designing the historic Chennai Central railway station in India.
  • B. Charles Harding
    Charles Harding was an architect known for designing the Golden Dome.
  • C. John Honeyman
    John Honeyman was a prominent 19th-century Scottish architect known for designing notable public buildings and observatories.
  • D. Herbert Jenkins
    Herbert Jenkins was a British publishing company best known for issuing popular fiction, including many works by P. G. Wodehouse.
  • E. Herbert Jenkins
    Herbert Jenkins was a prominent American law enforcement official who served as Atlanta’s long-time police chief and became nationally known for his role in addressing civil rights-era unrest and advising on urban disorder.
  • 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: George Harding
Triple: [Harding, hasNotableBearer, George Harding]
Generated description
George Harding is a relatively common personal name shared by multiple individuals across various professions and historical periods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George Harding
Target entity description: George Harding is a relatively common personal name shared by multiple individuals across various professions and historical periods.
  • A. George Harding chosen
    George Harding was an architect known for designing the historic Chennai Central railway station in India.
  • B. Charles Harding
    Charles Harding was an architect known for designing the Golden Dome.
  • C. John Honeyman
    John Honeyman was a prominent 19th-century Scottish architect known for designing notable public buildings and observatories.
  • D. Herbert Jenkins
    Herbert Jenkins was a British publishing company best known for issuing popular fiction, including many works by P. G. Wodehouse.
  • E. Herbert Jenkins
    Herbert Jenkins was a prominent American law enforcement official who served as Atlanta’s long-time police chief and became nationally known for his role in addressing civil rights-era unrest and advising on urban disorder.
  • F. None of above.

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_69e4418e52f8819096c75e6e866fecef completed April 19, 2026, 2:44 a.m.
NEDg Description generation batch_69e44c0606408190819b9d3fd58f818f completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4510dc55081908f89aab15726b2a8 completed April 19, 2026, 3:50 a.m.
Created at: April 8, 2026, 9:24 p.m.