Triple

T9174597
Position Surface form Disambiguated ID Type / Status
Subject Thomas Savile, 1st Earl of Sussex E220164 entity
Predicate givenName P17 FINISHED
Object 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.
 E782589 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 Savile, 1st Earl of Sussex, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas
Context triple: [Thomas Savile, 1st Earl of Sussex, givenName, Thomas]
  • A. Thomas
    Thomas is the given name of Tommy Lasorda, the Hall of Fame former manager of the Los Angeles Dodgers.
  • B. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • C. Thomas
    Thomas is the given name of Old Tom Morris, the 19th-century Scottish golfer regarded as a pioneer and four-time Open Championship winner.
  • D. Thomas
    Thomas is the given name of Thomas Pelham-Holles, 1st Duke of Newcastle, a prominent 18th-century British Whig statesman and prime minister.
  • E. Thomas
    Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
  • 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 Savile, 1st Earl of Sussex, givenName, Thomas]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas
Target entity description: 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.
  • A. 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.
  • B. Thomas
    Thomas is the given name of Thomas Osborne, 1st Duke of Leeds, a prominent 17th-century English statesman and politician.
  • C. 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.
  • D. Thomas
    Thomas is the given name of Thomas Fairfax, 1st Lord Fairfax of Cameron, a prominent Parliamentarian general during the English Civil War.
  • E. Thomas
    Thomas is the given name of Thomas Fairfax, 2nd Lord Fairfax of Cameron, a prominent Parliamentary general during the English Civil War.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbfa2f9708190a955bf28a4f04004 completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0543ddf6881908e9add22083d652d completed April 3, 2026, 11:58 p.m.
NEDg Description generation batch_69d0583e9d54819096772691741cd0bd completed April 4, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69d0586d09488190a364b9723af4a972 completed April 4, 2026, 12:16 a.m.
Created at: March 30, 2026, 7:23 p.m.