Triple

T12880839
Position Surface form Disambiguated ID Type / Status
Subject Gainsborough E308087 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas Gainsborough was an influential 18th-century English painter renowned for his portraits and landscape works, including "The Blue Boy."
E644185 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: [Gainsborough, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Gainsborough, givenName, Thomas]
  • A. Thomas
    Thomas is the first name of American actor and comedian Chris Parnell, known for his work on "Saturday Night Live" and "30 Rock."
  • B. Thomas
    Thomas is the given name of Tom Gola, a Hall of Fame American basketball player and coach known for his collegiate and professional success in the mid-20th century.
  • C. Thomas
    Thomas is the first name of the American DJ, producer, and songwriter better known by his stage name Diplo.
  • D. Thomas
    Thomas is the middle name of the 19th-century American publisher, editor, and poet James T. Fields.
  • E. Thomas
    Thomas is the given name of the 19th-century Irish writer Sheridan Le Fanu, known for his influential Gothic and horror fiction.
  • 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: [Gainsborough, givenName, Thomas]
Generated description
Thomas Gainsborough was an influential 18th-century English painter renowned for his portraits and landscape works, including "The Blue Boy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas Gainsborough was an influential 18th-century English painter renowned for his portraits and landscape works, including "The Blue Boy."
  • A. Thomas chosen
    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 Bruce, 7th Earl of Elgin, the British nobleman known for acquiring the Parthenon Marbles from Greece.
  • C. Thomas
    Thomas Watson-Wentworth, 1st Marquess of Rockingham, was an 18th-century British Whig politician and landowner who served as a prominent statesman and influential nobleman.
  • D. Thomas
    Thomas is the given name of Thomas Pitt, 1st Baron Camelford, a British naval officer and aristocrat known for his volatile temperament in the late 18th and early 19th centuries.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af55623081909fd171129f439302 completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b02e3b9881909387c1f70176a1bd completed May 3, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6b121fdb881909a9a321794a3b8f1 completed May 3, 2026, 2:21 a.m.
Created at: April 9, 2026, 5:39 p.m.