Triple

T10707319
Position Surface form Disambiguated ID Type / Status
Subject Thomas Pelham, 1st Baron Pelham E252440 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given name of Thomas Pelham, 1st Baron Pelham, an English Whig politician of the late 17th and early 18th centuries.
E881554 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 Pelham, 1st Baron Pelham, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas Pelham, 1st Baron Pelham, givenName, Thomas]
  • A. John
    John is the first name of Pete Ricketts, an American businessman and politician who has served as governor of Nebraska.
  • B. John
    John W. Tukey was an influential American mathematician and statistician known for pioneering exploratory data analysis and coining the term "bit."
  • C. John
    John is the given name of Colonel John Quincy, an American military officer and politician after whom John Quincy Adams was named.
  • D. John
    John is the given name of John Stewart, Earl of Mar, a Scottish nobleman and political figure.
  • E. John
    John is a fictional police detective and main character from the science fiction TV series "Almost Human."
  • 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 Pelham, 1st Baron Pelham, givenName, Thomas]
Generated description
Thomas is the given name of Thomas Pelham, 1st Baron Pelham, an English Whig politician of the late 17th and early 18th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the given name of Thomas Pelham, 1st Baron Pelham, an English Whig politician of the late 17th and early 18th centuries.
  • A. Thomas
    Thomas is the given name of Thomas Pelham-Holles, 1st Duke of Newcastle, a prominent 18th-century British Whig statesman and prime minister.
  • 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 Thomas Fairfax, 1st Lord Fairfax of Cameron, a prominent Parliamentarian general during the English Civil War.
  • D. Thomas
    Thomas is the given name of Thomas Pitt, 1st Baron Camelford, a British naval officer and aristocrat known for his volatile temperament in the late 18th and early 19th centuries.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbacd1f88081908e65e9092acc2a56 completed April 12, 2026, 2:31 p.m.
NEDg Description generation batch_69dbaeb211088190a9118c71918584e5 completed April 12, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69dbaf7c999c819097a8cdf5bd82f648 completed April 12, 2026, 2:43 p.m.
Created at: April 8, 2026, 9:12 p.m.