Triple

T22442727
Position Surface form Disambiguated ID Type / Status
Subject Thomas Daschle E554793 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is a common masculine given name of Aramaic origin, traditionally interpreted to mean "twin."
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 Daschle, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas Daschle, 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 formal given name of Tom LaGarde, an American former professional basketball player.
  • C. Thomas
    Thomas is the given name of Sir Thomas Hislop, a British Army officer who served during the Napoleonic Wars and in colonial India.
  • D. Thomas
    Thomas is a character appearing in the animated series "Exit 9B" from the show "Regular Show."
  • E. Thomas
    Thomas is the given name of Thomas de Quincey, the 19th-century English essayist best known for "Confessions of an English Opium-Eater."
  • 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 Daschle, givenName, Thomas]
Generated description
Thomas is a common masculine given name of Aramaic origin, traditionally interpreted to mean "twin."
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, traditionally interpreted to mean "twin."
  • 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 name of Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
  • D. Thomas
    Thomas is the given first name of Tom Harmon, the famed American football player and sportscaster.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae40f9081908674015beb33f74e completed April 29, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c66eaa88190a58d646620de8612 completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0d8a6024819093541ef45e3a22b4 completed May 18, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0de37c208190ac16ec35b1a8edee completed May 18, 2026, 1:02 p.m.
Created at: April 16, 2026, 8:47 p.m.