Triple

T7395176
Position Surface form Disambiguated ID Type / Status
Subject Tom Vilsack E170603 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the formal given name of Tom Vilsack, an American politician who has served multiple terms as U.S. Secretary of Agriculture.
 E661160 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: [Tom Vilsack, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thomas
Context triple: [Tom Vilsack, 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: [Tom Vilsack, givenName, Thomas]
Generated description
Thomas is the formal given name of Tom Vilsack, an American politician who has served multiple terms as U.S. Secretary of Agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thomas
Target entity description: Thomas is the formal given name of Tom Vilsack, an American politician who has served multiple terms as U.S. Secretary of Agriculture.
  • A. Thomas
    Thomas is the formal given name of American politician Tom Daschle, who served as U.S. Senate Majority Leader.
  • B. Thomas
    Thomas is the first name of Slade Gorton, an American politician who served as a U.S. Senator from Washington.
  • C. Thomas
    Thomas is the given name of Thomas S. Ricketts, the American businessman and chairman of the Chicago Cubs.
  • D. Thomas
    Thomas is the first name of Tom Ridge, the former governor of Pennsylvania and the first United States Secretary of Homeland Security.
  • E. 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.
  • 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_69c68a5f04188190ac266569c9280347 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2279de4819081b8876d02f55388 completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810ae557881908340cee60c9d7932 completed March 28, 2026, 5:32 p.m.
NEDg Description generation batch_69c8119611148190ae72e52242798dfe completed March 28, 2026, 5:36 p.m.
NED2 Entity disambiguation (via description) batch_69c8121126e08190a95ab570569158cf completed March 28, 2026, 5:38 p.m.
Created at: March 27, 2026, 3:09 p.m.