Triple

T17778543
Position Surface form Disambiguated ID Type / Status
Subject Thomas Sparrow E443836 entity
Predicate hasGivenName P17 FINISHED
Object Thomas NE NERFINISHED

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: Thomas | Statement: [Thomas Sparrow, hasGivenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas Sparrow, hasGivenName, Thomas]
  • A. Thomas
    Thomas Francis, Prince of Carignano, was a 17th-century Italian nobleman and military commander of the House of Savoy who played a significant role in the Thirty Years' War and related European conflicts.
  • B. Thomas
    Thomas is the given name of Sir Stamford Raffles, the British statesman best known as the founder of modern Singapore.
  • C. Thomas
    Thomas is the given name of Thomas Robert Bugeaud, a 19th-century French military officer and colonial administrator known for his role in the conquest of Algeria.
  • D. Thomas
    Thomas is the given name of British entertainer Tommy Steele, a pioneering rock and roll singer and actor.
  • E. Thomas
    Thomas is a character in Simon Gray's stage play "Quartermaine's Terms," which explores the personal and professional lives of teachers at a 1960s Cambridge language school.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871f63708190b298ed96896ad0ee completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.