Triple

T20837497
Position Surface form Disambiguated ID Type / Status
Subject Thomas Clark E512997 entity
Predicate hasComponent P35 FINISHED
Object Thomas
Thomas is a given name of Aramaic origin commonly used in many English-speaking and European countries.
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 Clark, hasComponent, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas Clark, hasComponent, 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 was the given name of Thomas Stanley, 1st Earl of Derby, a prominent English nobleman and political figure during the late 15th century.
  • C. 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.
  • 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 Clark, hasComponent, Thomas]
Generated description
Thomas is a given name of Aramaic origin commonly used in many English-speaking and European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is a given name of Aramaic origin commonly used in many English-speaking and European countries.
  • 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 name of Thomas Paine, the influential 18th-century political philosopher and writer known for works like "Common Sense" and "The Rights of Man."
  • E. Thomas
    Thomas is the given first name of English actor Tom Sturridge, known for his work in film, television, and theatre.
  • 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3280a1881909a86d1fe498aee50 completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091390da248190a61207a4a592c35f completed May 17, 2026, 1:02 a.m.
NEDg Description generation batch_6a09145a9b0481909086941cdd981e1a completed May 17, 2026, 1:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0914f1925081909bce8ad0932c6722 completed May 17, 2026, 1:08 a.m.
Created at: April 16, 2026, 12:42 p.m.