Triple

T13340557
Position Surface form Disambiguated ID Type / Status
Subject Thomas, Lord Stanley E317812 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas, Lord Stanley, was a prominent English nobleman and political figure during the late 15th century, notably involved in the power struggles of the Wars of the Roses.
E558292 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, Lord Stanley, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas, Lord Stanley, givenName, Thomas]
  • A. Thomas
    Thomas is the full given name of Tom Brady, the legendary NFL quarterback widely regarded as one of the greatest players in American football history.
  • B. Thomas
    Thomas is the formal given name of American politician Tom Daschle, who served as U.S. Senate Majority Leader.
  • C. Thomas
    Thomas is the given name of Sir Stamford Raffles, the British statesman best known as the founder of modern Singapore.
  • D. Thomas
    Thomas is the given first name of English actor Tom Sturridge, known for his work in film, television, and theatre.
  • E. Thomas
    Thomas is the formal given name of the fictional crime boss Tommy Shelby from the television series "Peaky Blinders."
  • 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, Lord Stanley, givenName, Thomas]
Generated description
Thomas, Lord Stanley, was a prominent English nobleman and political figure during the late 15th century, notably involved in the power struggles of the Wars of the Roses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas, Lord Stanley, was a prominent English nobleman and political figure during the late 15th century, notably involved in the power struggles of the Wars of the Roses.
  • A. Thomas chosen
    Thomas was the given name of Thomas Stanley, 1st Earl of Derby, a prominent English nobleman and political figure during the late 15th century.
  • B. Thomas
    Thomas was the given name of Thomas Howard, 1st Earl of Suffolk, an influential English nobleman and statesman during the late 16th and early 17th centuries.
  • C. Thomas
    Thomas Savile, 1st Earl of Sussex, was a 17th-century English nobleman and politician who held prominent titles and influence during the reign of Charles I.
  • D. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • E. Thomas
    Thomas Belasyse, 1st Earl Fauconberg, was a 17th-century English nobleman and politician who supported the Parliamentary cause during the English Civil War and later served under the restored monarchy.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d0379d481909a50fff31b19fed1 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f730641f588190886119506e6dde8f completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f7311f14988190989e319741ef0ccf completed May 3, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_69f731e24d508190a896875210be3189 completed May 3, 2026, 11:30 a.m.
Created at: April 9, 2026, 9:31 p.m.