Triple

T19428175
Position Surface form Disambiguated ID Type / Status
Subject Sir John Evans E486038 entity
Predicate name P16 FINISHED
Object John Evans
John Evans is a British archaeologist and geologist renowned for his pioneering work on prehistoric stone tools and ancient numismatics in the 19th century.
 E1375393 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 Evans | Statement: [Sir John Evans, name, John Evans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Evans
Context triple: [Sir John Evans, name, John Evans]
  • A. John Evans
    John Evans was a 19th-century American physician, politician, and railroad developer who served as governor of the Colorado Territory and played a key role in the founding of Northwestern University.
  • B. John Evans
    John Evans is a mountaineer best known as one of the first climbers to reach the summit of Vinson Massif, the highest peak in Antarctica.
  • C. John Evans
    John Evans was an American statesman who represented South Carolina in the Continental Congress during the Revolutionary era.
  • D. Ian Megibben
    Ian Megibben is a cinematographer best known for his work on the animated film "Finding Dory."
  • E. Ian Megibben
    Ian Megibben is a cinematographer best known for his work on the animated feature film "Lightyear."
  • 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 Evans
Triple: [Sir John Evans, name, John Evans]
Generated description
John Evans is a British archaeologist and geologist renowned for his pioneering work on prehistoric stone tools and ancient numismatics in the 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Evans
Target entity description: John Evans is a British archaeologist and geologist renowned for his pioneering work on prehistoric stone tools and ancient numismatics in the 19th century.
  • A. John Evans
    John Evans was a 19th-century American physician, politician, and railroad developer who served as governor of the Colorado Territory and played a key role in the founding of Northwestern University.
  • B. John Evans
    John Evans is a mountaineer best known as one of the first climbers to reach the summit of Vinson Massif, the highest peak in Antarctica.
  • C. John Evans
    John Evans was an American statesman who represented South Carolina in the Continental Congress during the Revolutionary era.
  • D. Ian Megibben
    Ian Megibben is a cinematographer best known for his work on the animated film "Finding Dory."
  • E. Ian Megibben
    Ian Megibben is a cinematographer best known for his work on the animated feature film "Lightyear."
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321abb9c81908ad73c2cd537d0f1 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733d68614819093078d34753ab83d completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a073491b60c8190a41a15410e865219 completed May 15, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_6a073545b2e48190a8cb78cb25785017 completed May 15, 2026, 3:01 p.m.
Created at: April 10, 2026, 1:37 p.m.