Triple

T5303424
Position Surface form Disambiguated ID Type / Status
Subject Mr. Holland's Opus E120037 entity
Predicate castMember P1668 FINISHED
Object Jay Thomas
Jay Thomas was an American actor and comedian known for his roles on television series such as "Cheers" and "Murphy Brown," as well as in various films.
E509647 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: Jay Thomas | Statement: [Mr. Holland's Opus, castMember, Jay Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Thomas
Context triple: [Mr. Holland's Opus, castMember, Jay Thomas]
  • A. Jason Thomas
    Jason Thomas is known primarily as the brother of former NFL All-Pro linebacker Zach Thomas.
  • B. Nick Thomas
    Nick Thomas is an American musician best known as an early member and former bassist of the band Twenty One Pilots.
  • C. Jeremy Thomas
    Jeremy Thomas is a renowned British film producer known for his work on acclaimed independent and art-house films, including multiple collaborations with prominent directors.
  • D. Jeremy Theobald
    Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
  • E. Brent Thomas
    Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
  • 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: Jay Thomas
Triple: [Mr. Holland's Opus, castMember, Jay Thomas]
Generated description
Jay Thomas was an American actor and comedian known for his roles on television series such as "Cheers" and "Murphy Brown," as well as in various films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jay Thomas
Target entity description: Jay Thomas was an American actor and comedian known for his roles on television series such as "Cheers" and "Murphy Brown," as well as in various films.
  • A. Jason Thomas
    Jason Thomas is known primarily as the brother of former NFL All-Pro linebacker Zach Thomas.
  • B. Nick Thomas
    Nick Thomas is an American musician best known as an early member and former bassist of the band Twenty One Pilots.
  • C. Jeremy Thomas
    Jeremy Thomas is a renowned British film producer known for his work on acclaimed independent and art-house films, including multiple collaborations with prominent directors.
  • D. Jeremy Theobald
    Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
  • E. Brent Thomas
    Brent Thomas is an advertising professional best known for writing Apple’s iconic 1984 Super Bowl commercial.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851b685c8190b7ed8c762a807395 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10f3b9ac81909cd2ca2278b11d3e completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11635b9c819092130c46caea9306 completed March 21, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69bf11e982d08190bc74312bf6ee7127 completed March 21, 2026, 9:47 p.m.
Created at: March 20, 2026, 1:53 p.m.