Triple

T7076158
Position Surface form Disambiguated ID Type / Status
Subject Byron Haskin E164824 entity
Predicate givenName P17 FINISHED
Object Byron
Byron is a masculine given name of Old English origin, commonly associated with the English Romantic poet Lord Byron.
E646402 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: Byron | Statement: [Byron Haskin, givenName, Byron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byron
Context triple: [Byron Haskin, givenName, Byron]
  • A. Byron
    Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
  • B. Byron
    Byron is the given first name of Ban Johnson, the influential early 20th-century American baseball executive who served as the founding president of the American League.
  • 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. Lord Byron
    Lord Byron was a leading British Romantic poet renowned for his flamboyant lifestyle and works such as "Childe Harold's Pilgrimage" and "Don Juan."
  • 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: Byron
Triple: [Byron Haskin, givenName, Byron]
Generated description
Byron is a masculine given name of Old English origin, commonly associated with the English Romantic poet Lord Byron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Byron
Target entity description: Byron is a masculine given name of Old English origin, commonly associated with the English Romantic poet Lord Byron.
  • A. Byron
    Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
  • 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 first name of Ban Johnson, the influential early 20th-century American baseball executive who served as the founding president of the American League.
  • D. Byron
    Byron is the given name of Byron King-Noel, the 12th Baron Wentworth and grandson of the poet Lord Byron.
  • E. Lord Byron
    Lord Byron was a leading British Romantic poet renowned for his flamboyant lifestyle and works such as "Childe Harold's Pilgrimage" and "Don Juan."
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ebf4048190bf5d7156817f93a7 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8cc838c8190b4da8f1ea13cbeb6 completed March 28, 2026, 11:17 a.m.
NEDg Description generation batch_69c7b97893308190b349afb452d4e154 completed March 28, 2026, 11:20 a.m.
NED2 Entity disambiguation (via description) batch_69c7b9f805b88190866170fdd8ce07ff completed March 28, 2026, 11:22 a.m.
Created at: March 27, 2026, 2:40 p.m.