Triple

T2702784
Position Surface form Disambiguated ID Type / Status
Subject Lady Byron Vindicated E59268 entity
Predicate mainSubject P3 FINISHED
Object Lady Byron E104847 NE FINISHED

How this triple was built (2 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: Lady Byron | Statement: [Lady Byron Vindicated, mainSubject, Lady Byron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady Byron
Context triple: [Lady Byron Vindicated, mainSubject, Lady Byron]
  • A. Lady Byron chosen
    Lady Byron, born Annabella Milbanke, was a British aristocrat and mathematician best known as the wife of poet Lord Byron and the mother of computing pioneer Ada Lovelace.
  • B. 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."
  • C. Frances Polidori
    Frances Polidori was the Italian-English mother of Pre-Raphaelite artist and poet Dante Gabriel Rossetti and a member of the culturally influential Rossetti-Polidori family.
  • D. Lady Caroline Lamb
    Lady Caroline Lamb was a British aristocrat and novelist best known for her scandalous affair with Lord Byron and her Gothic novel "Glenarvon."
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda4e679c8190a2926284568d9020 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf76caec8190930ead7931f7ea91 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.