Triple

T10810446
Position Surface form Disambiguated ID Type / Status
Subject Judge Lord Thomas Horfield E255083 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given name of Judge Lord Thomas Horfield, a judicial figure bearing a hereditary or life peerage title.
E890843 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: [Judge Lord Thomas Horfield, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Judge Lord Thomas Horfield, 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: [Judge Lord Thomas Horfield, givenName, Thomas]
Generated description
Thomas is the given name of Judge Lord Thomas Horfield, a judicial figure bearing a hereditary or life peerage title.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the given name of Judge Lord Thomas Horfield, a judicial figure bearing a hereditary or life peerage title.
  • A. Thomas
    Thomas, known formally as Lord Bingham of Cornhill, was a highly respected British judge who served as Senior Law Lord and is often regarded as one of the most influential jurists in modern UK legal history.
  • B. Thomas
    Thomas is the given name of Sir Thomas Frankland, a titled member of the British Frankland family.
  • C. Thomas
    Thomas is the given name of Sir Thomas Eichelbaum, a prominent New Zealand jurist who served as Chief Justice.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b6efc48190bb64b5a8fac843c4 completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c0907c8190b092bb6754fe4e52 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0026e7900819087327db5f625169c completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e0057a7704819096becb74dc261883 completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:18 p.m.