Triple

T11137477
Position Surface form Disambiguated ID Type / Status
Subject Tom Mboya E263451 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given name of Tom Mboya, a prominent Kenyan trade unionist, independence leader, and politician.
E910476 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 Mboya, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Tom Mboya, givenName, Thomas]
  • A. John
    John IV of Portugal was a 17th-century Portuguese king who restored the country's independence from Spain and founded the Braganza dynasty.
  • B. John
    John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
  • C. John
    John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
  • D. John
    John was a historical Prince of Asturias, the traditional title for the heir apparent to the Spanish throne.
  • E. John
    John is the given name of John Copley, 1st Baron Lyndhurst, a prominent 19th-century British lawyer and politician who served three times as Lord Chancellor.
  • 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 Mboya, givenName, Thomas]
Generated description
Thomas is the given name of Tom Mboya, a prominent Kenyan trade unionist, independence leader, and politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the given name of Tom Mboya, a prominent Kenyan trade unionist, independence leader, and politician.
  • A. Thomas
    Thomas is the given name of W. T. Cosgrave, the first President of the Executive Council of the Irish Free State and a key figure in early 20th-century Irish politics.
  • 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 Thomas Malthus, the influential English economist and demographer known for his theories on population growth and resource limits.
  • D. Thomas
    Thomas is the given name of Thomas Robert Bugeaud, a 19th-century French military officer and colonial administrator known for his role in the conquest of Algeria.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85f2ea48190bf1ff63af1d7d236 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4834b0a0c8190b78ca62badf1f4e4 completed April 19, 2026, 7:24 a.m.
NEDg Description generation batch_69e48788be688190a109ccb8281d3dc9 completed April 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4890c12388190838d350207492c9e completed April 19, 2026, 7:49 a.m.
Created at: April 8, 2026, 9:28 p.m.