Triple

T7528439
Position Surface form Disambiguated ID Type / Status
Subject Samuel Wallis E177953 entity
Predicate precededBy P97 FINISHED
Object John Byron
John Byron was an 18th-century British Royal Navy officer and circumnavigator, nicknamed "Foul-Weather Jack" for his frequent encounters with storms at sea.
 E669750 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 Byron | Statement: [Samuel Wallis, precededBy, John Byron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Byron
Context triple: [Samuel Wallis, precededBy, John Byron]
  • A. Sir John Byron
    Sir John Byron was an English nobleman and politician of the 16th century, notable as an ancestor of the poet Lord Byron and a prominent member of the Byron family of Nottinghamshire.
  • B. Byron
    Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
  • C. Byron
    Byron is a small city in central Georgia, United States, known for its historic downtown and location along major transportation routes near Macon.
  • D. Byron
    Byron is the given name of Byron King-Noel, the 12th Baron Wentworth and grandson of the poet Lord Byron.
  • E. Byron
    Byron is a masculine given name of Old English origin, commonly associated with the English Romantic poet Lord Byron.
  • 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 Byron
Triple: [Samuel Wallis, precededBy, John Byron]
Generated description
John Byron was an 18th-century British Royal Navy officer and circumnavigator, nicknamed "Foul-Weather Jack" for his frequent encounters with storms at sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Byron
Target entity description: John Byron was an 18th-century British Royal Navy officer and circumnavigator, nicknamed "Foul-Weather Jack" for his frequent encounters with storms at sea.
  • A. Sir John Byron
    Sir John Byron was an English nobleman and politician of the 16th century, notable as an ancestor of the poet Lord Byron and a prominent member of the Byron family of Nottinghamshire.
  • B. Byron
    Byron is a small city in central Georgia, United States, known for its historic downtown and location along major transportation routes near Macon.
  • C. Byron
    Byron is the given name of Byron King-Noel, the 12th Baron Wentworth and grandson of the poet Lord Byron.
  • D. Byron
    Byron is a masculine given name of Old English origin, commonly associated with the English Romantic poet Lord Byron.
  • E. Byron
    Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81e19208190965f211d057f7fdf completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84639c19881909e1736afc01a020d completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c846d0b1348190bc2bf23e75c535a9 completed March 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c84748b8988190b4f85c253ea9e403 completed March 28, 2026, 9:25 p.m.
Created at: March 27, 2026, 3:47 p.m.