Triple

T3031212
Position Surface form Disambiguated ID Type / Status
Subject Tom Courtenay E82898 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given name of English actor Tom Courtenay, a prominent figure in British cinema and theatre since the 1960s.
E329310 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: [Tom Courtenay, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Tom Courtenay, givenName, Thomas]
  • A. Thomas
    Thomas is a common surname of English and Welsh origin, derived from the given name Thomas and borne by numerous notable individuals worldwide.
  • B. Thomas
    Thomas, also known as Doubting Thomas, was one of Jesus Christ’s Twelve Apostles, remembered for initially doubting the Resurrection until he saw and touched Jesus’ wounds.
  • C. Thomas
    Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
  • D. Thomas
    Thomas is the given first name of Boston Corbett, the Union Army soldier known for killing Abraham Lincoln’s assassin, John Wilkes Booth.
  • E. Thomas
    Thomas is the formal given name of Tom Yawkey, the longtime owner of the Boston Red Sox baseball team.
  • 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: [Tom Courtenay, givenName, Thomas]
Generated description
Thomas is the given name of English actor Tom Courtenay, a prominent figure in British cinema and theatre since the 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the given name of English actor Tom Courtenay, a prominent figure in British cinema and theatre since the 1960s.
  • A. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • B. Thomas
    Thomas is the given name of Thomas Cranmer, the 16th-century Archbishop of Canterbury and a leading figure in the English Reformation.
  • C. Thomas
    Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
  • D. 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.
  • E. Thomas
    Thomas is the given name of Thomas Cochrane, 10th Earl of Dundonald, a renowned British naval officer and radical politician of the 19th century.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9aee2fec81908116939a8d773fc4 completed March 8, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f3d2fc481908365a171d8dac0df completed March 12, 2026, 12:56 a.m.
NEDg Description generation batch_69b212fbb90c819098957f3e6b1b7203 completed March 12, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69b2137fa3808190bc4c3a333ae250cd completed March 12, 2026, 1:14 a.m.
Created at: March 8, 2026, 3:01 p.m.