Triple

T13041954
Position Surface form Disambiguated ID Type / Status
Subject Tom Lysiak E327215 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the formal given name of Tom Lysiak, a notable Canadian professional ice hockey player who starred in the NHL during the 1970s and 1980s.
E1017968 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 Lysiak, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Tom Lysiak, givenName, Thomas]
  • A. Thomas
    Thomas, also known as Doubting Thomas, is one of the Twelve Apostles of Jesus in the New Testament, remembered for initially doubting Jesus’ resurrection until he saw and touched Christ’s wounds.
  • B. Thomas
    Thomas is the first name of American country music songwriter and recording artist Thom Schuyler.
  • C. Thomas
    Thomas is the given name of Thomas Edwards, an English literary critic and poet known for his 18th-century work "The Canons of Criticism."
  • D. Thomas
    Thomas is the middle name of the individual Samuel Thomas Wilson.
  • E. Thomas
    Thomas Einstein is an American anesthesiologist and great-grandson of physicist Albert Einstein.
  • 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 Lysiak, givenName, Thomas]
Generated description
Thomas is the formal given name of Tom Lysiak, a notable Canadian professional ice hockey player who starred in the NHL during the 1970s and 1980s.
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 Lysiak, a notable Canadian professional ice hockey player who starred in the NHL during the 1970s and 1980s.
  • A. Thomas
    Thomas is the formal given name of Tom LaGarde, an American former professional basketball player.
  • B. Thomas
    Thomas is the given name of Tom Gola, a Hall of Fame American basketball player and coach known for his collegiate and professional success in the mid-20th century.
  • C. Thomas
    Thomas is the given first name of Tom Harmon, the famed American football player and sportscaster.
  • D. Thomas
    Thomas is the given first name of Tommy Chong, the Canadian-American comedian, actor, and cannabis rights advocate best known as half of the Cheech & Chong duo.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804f0318819081516e2ca1de6797 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbbf0fb08190aeb1697714942c2b completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6cd706f548190af79efa973434af9 completed May 3, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce2c7630819091433543dfdf8402 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:56 p.m.