Triple

T23446607
Position Surface form Disambiguated ID Type / Status
Subject Thomas Couture E565552 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given name of the 19th-century French history painter Thomas Couture, known for works such as "Romans During the Decadence."
E1589675 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 Couture, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas Couture, givenName, Thomas]
  • A. Thomas
    Thomas is the given name of Sir Stamford Raffles, the British statesman best known as the founder of modern Singapore.
  • B. Thomas
    Thomas is the full given name of American football coach Tom Cable, known for his roles as an NFL head coach and offensive line coach.
  • C. Thomas
    Thomas is the given first name of Tommy DeBarge, a member of the American R&B/funk band Switch.
  • D. Thomas
    Thomas is the real first name of Baron Corbin, an American professional wrestler and former NFL player known for his work in WWE.
  • E. Thomas
    Thomas is a character appearing in the animated series "Exit 9B" from the show "Regular Show."
  • 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 Couture, givenName, Thomas]
Generated description
Thomas is the given name of the 19th-century French history painter Thomas Couture, known for works such as "Romans During the Decadence."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the given name of the 19th-century French history painter Thomas Couture, known for works such as "Romans During the Decadence."
  • A. Thomas
    Thomas is the given name of Thomas Gainsborough, the renowned 18th-century English portrait and landscape painter.
  • B. 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.
  • C. 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."
  • D. Thomas
    Thomas is the given name of the 19th-century Irish writer Sheridan Le Fanu, known for his influential Gothic and horror fiction.
  • E. Thomas
    Thomas is the given name of English actor Tom Courtenay, a prominent figure in British cinema and theatre since the 1960s.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64939e4819085862e7482e14879 completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c824b0dfc8190b03fb749d842484d completed May 19, 2026, 3:31 p.m.
NEDg Description generation batch_6a0ca6eee2f48190b4e03039c4c96abe completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca819f6dc8190852bb3c06768ac5a completed May 19, 2026, 6:12 p.m.
Created at: April 17, 2026, 5:51 p.m.