Triple

T10758557
Position Surface form Disambiguated ID Type / Status
Subject A Map of Virginia E253763 entity
Predicate creator P184 FINISHED
Object John Smith
John Smith was an English soldier, explorer, and author best known for his role in the early years of the Jamestown colony in Virginia and his influential maps and writings about the region.
E51677 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: John Smith | Statement: [A Map of Virginia, creator, John Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Smith
Context triple: [A Map of Virginia, creator, John Smith]
  • A. John
    John is the husband of Martha Rainsborough.
  • B. John
    John is the given name of John Hays Hammond Jr., an American inventor known for his pioneering work in radio control and naval weaponry.
  • C. John
    John is the given name of Lord Eldon, a prominent British lawyer and politician who served as Lord Chancellor in the early 19th century.
  • D. John
    John is a fictional police detective and main character from the science fiction TV series "Almost Human."
  • E. John
    John is the given name of John Copley, 1st Baron Lyndhurst, a prominent 19th-century British lawyer and politician who served three times as Lord Chancellor.
  • 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: John Smith
Triple: [A Map of Virginia, creator, John Smith]
Generated description
John Smith was an English soldier, explorer, and author best known for his role in the early years of the Jamestown colony in Virginia and his influential maps and writings about the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Smith
Target entity description: John Smith was an English soldier, explorer, and author best known for his role in the early years of the Jamestown colony in Virginia and his influential maps and writings about the region.
  • A. John Smith chosen
    John Smith was an English soldier, explorer, and leader who played a pivotal role in the establishment and survival of the Jamestown colony in early colonial Virginia.
  • B. John Smith
    John Smith was a delegate from South Carolina who served in the Continental Congress during the American Revolutionary era.
  • C. John Smith
    John Smith is an individual known primarily as the husband of Jane Smith.
  • D. John Smith
    John Smith was a 19th-century British officer credited with bringing the Ajanta Caves to modern attention after rediscovering them in 1819.
  • E. John Smith
    John Smith is a person whose formal given name is John but who is also known by the nickname Johnny Smith.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d72ea107a48190b6b92bb0df03e517 completed April 9, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84a63de0819085f1e982c8348811 completed April 14, 2026, 6:17 p.m.
NEDg Description generation batch_69de8e6f3fac8190bcd1675978d6d6d7 completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de8fa679cc81909cb51035e5403ce9 completed April 14, 2026, 7:04 p.m.
Created at: April 8, 2026, 9:15 p.m.