Triple

T20312005
Position Surface form Disambiguated ID Type / Status
Subject Thomas de Quincey E510276 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given name of Thomas de Quincey, the 19th-century English essayist best known for "Confessions of an English Opium-Eater."
E1425945 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 de Quincey, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas de Quincey, 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 middle name of the individual Samuel Thomas Wilson.
  • C. Thomas
    Thomas is the given name of Thomas Coke, 2nd Earl of Leicester, a prominent 19th-century British peer and landowner.
  • D. Thomas
    Thomas is the full given name of former NFL quarterback Tommy Maddox, who notably played for the Pittsburgh Steelers and won the 2001 XFL championship.
  • 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 de Quincey, givenName, Thomas]
Generated description
Thomas is the given name of Thomas de Quincey, the 19th-century English essayist best known for "Confessions of an English Opium-Eater."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the given name of Thomas de Quincey, the 19th-century English essayist best known for "Confessions of an English Opium-Eater."
  • A. Thomas
    Thomas is the given name of Thomas Edwards, an English literary critic and poet known for his 18th-century work "The Canons of Criticism."
  • B. 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."
  • C. Thomas
    Thomas is the given name of the 19th-century Irish writer Sheridan Le Fanu, known for his influential Gothic and horror fiction.
  • D. Thomas
    Thomas is the given name of the English chemist and author William Thomas Brande, known for his influential 19th-century works in chemistry.
  • E. Thomas
    Thomas is the given name of Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677441f9c8190acf98dc92c77732b completed April 20, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08694927c48190b71fef8bed29456a completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a086b09925c81908d716a21692b9650 completed May 16, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_6a086ba7d3588190ab2abf0cf53d4953 completed May 16, 2026, 1:05 p.m.
Created at: April 16, 2026, 11:19 a.m.