Triple

T17181792
Position Surface form Disambiguated ID Type / Status
Subject Thomas Francis Wade E417001 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is a common masculine given name of Aramaic origin, widely used in English-speaking countries and beyond.
E67625 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: Thomas | Statement: [Thomas Francis Wade, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas Francis Wade, givenName, 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. 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: Thomas
Triple: [Thomas Francis Wade, givenName, Thomas]
Generated description
Thomas is a common masculine given name of Aramaic origin, widely used in English-speaking countries and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is a common masculine given name of Aramaic origin, widely used in English-speaking countries and beyond.
  • A. Thomas chosen
    Thomas is a common masculine given name of Aramaic origin, widely used in English-speaking and many other cultures.
  • B. Thomas
    Thomas is a common surname of English and Welsh origin, derived from the given name Thomas and borne by numerous notable individuals worldwide.
  • C. Thomas
    Thomas is the given first name of Tom Harmon, the famed American football player and sportscaster.
  • D. Thomas
    Thomas is the given first name of English actor Tom Sturridge, known for his work in film, television, and theatre.
  • E. Thomas
    Thomas is the given name of Thomas Paine, the influential 18th-century political philosopher and writer known for works like "Common Sense" and "The Rights of Man."
  • F. None of above.

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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc1187808190aeaa0d0e6487957e completed April 18, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fca04cc8190a9df230078fbe268 completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0161e5f6f0819083c57feac088f531 completed May 11, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0162785e7081908d57801eeae7cf67 completed May 11, 2026, 5 a.m.
Created at: April 10, 2026, 5:37 a.m.