Triple

T17241108
Position Surface form Disambiguated ID Type / Status
Subject Tommy McDonald E418499 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the formal given name of Tommy McDonald, an American football Hall of Fame wide receiver.
E1259937 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: [Tommy McDonald, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Tommy McDonald, givenName, Thomas]
  • A. Thomas
    Thomas Francis, Prince of Carignano, was a 17th-century Italian nobleman and military commander of the House of Savoy who played a significant role in the Thirty Years' War and related European conflicts.
  • B. Thomas
    Thomas is the given name of Sir Stamford Raffles, the British statesman best known as the founder of modern Singapore.
  • C. 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.
  • D. Thomas
    Thomas is the given name of British entertainer Tommy Steele, a pioneering rock and roll singer and actor.
  • E. Thomas
    Thomas is a character in Simon Gray's stage play "Quartermaine's Terms," which explores the personal and professional lives of teachers at a 1960s Cambridge language school.
  • 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: [Tommy McDonald, givenName, Thomas]
Generated description
Thomas is the formal given name of Tommy McDonald, an American football Hall of Fame wide receiver.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the formal given name of Tommy McDonald, an American football Hall of Fame wide receiver.
  • 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 given name of Tom Brookshier, an American football player and sportscaster.
  • C. Thomas
    Thomas is the given first name of Tom Harmon, the famed American football player and sportscaster.
  • D. Thomas
    Thomas is the full given name of former NFL quarterback Tommy Maddox, who notably played for the Pittsburgh Steelers and won the 2001 XFL championship.
  • E. Thomas
    Thomas is the given first name of Tom Flores, the former American football quarterback and Super Bowl–winning head coach.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e203ec88190a21f38cbb18a14fa completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01793efa288190b63f641381566bb9 completed May 11, 2026, 6:37 a.m.
NEDg Description generation batch_6a017a7c7f408190a3123584e76c228b completed May 11, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_6a017b0da1048190ad37b1b241d110f4 completed May 11, 2026, 6:45 a.m.
Created at: April 10, 2026, 5:39 a.m.