Triple

T7870805
Position Surface form Disambiguated ID Type / Status
Subject Tom Flores E182731 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given first name of Tom Flores, the former American football quarterback and Super Bowl–winning head coach.
E701459 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 Flores, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Tom Flores, 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 Flores, givenName, Thomas]
Generated description
Thomas is the given first name of Tom Flores, the former American football quarterback and Super Bowl–winning head coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the given first name of Tom Flores, the former American football quarterback and Super Bowl–winning head coach.
  • 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 first name of American football coach and politician Tommy Tuberville.
  • C. Thomas
    Thomas is the formal given name of Tom Coughlin, the American football coach best known for leading the New York Giants to two Super Bowl victories.
  • D. Thomas
    Thomas is the full given name of American football coach Tom Cable, known for his roles as an NFL head coach and offensive line coach.
  • E. Thomas
    Thomas is the full given name of Tom Thibodeau, an American professional basketball coach known for his defensive-minded teams in the NBA.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb384a285881908a5b2de278f9556f completed March 31, 2026, 2:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a00b5948190a8e6184353bbd233 completed March 31, 2026, 5:22 a.m.
NEDg Description generation batch_69cb7630b8908190a0b8f4856bceea0a completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbfb894588190971ade076acdbd5c completed March 31, 2026, 12:36 p.m.
Created at: March 30, 2026, 4:55 p.m.