Triple

T2007786
Position Surface form Disambiguated ID Type / Status
Subject Royal Wedding E43623 entity
Predicate character P662 FINISHED
Object Tom Bowen
Tom Bowen is a fictional character from the 1951 MGM musical film "Royal Wedding," best known as one of the dancing leads portrayed by Fred Astaire.
 E224428 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: Tom Bowen | Statement: [Royal Wedding, character, Tom Bowen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Bowen
Context triple: [Royal Wedding, character, Tom Bowen]
  • A. Paul Bransom
    Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
  • B. Bob Jordan
    Bob Jordan is an American business executive best known as the Chief Executive Officer of Southwest Airlines.
  • C. Brian Fleming
    Brian Fleming is a personal name shared by several individuals, most commonly associated with professionals in fields such as law, politics, and the arts.
  • D. Luke Murray
    Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
  • E. Roger Bresnahan
    Roger Bresnahan was an innovative early 20th-century Major League Baseball catcher and Hall of Famer, known for pioneering the use of protective equipment such as shin guards.
  • 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: Tom Bowen
Triple: [Royal Wedding, character, Tom Bowen]
Generated description
Tom Bowen is a fictional character from the 1951 MGM musical film "Royal Wedding," best known as one of the dancing leads portrayed by Fred Astaire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Bowen
Target entity description: Tom Bowen is a fictional character from the 1951 MGM musical film "Royal Wedding," best known as one of the dancing leads portrayed by Fred Astaire.
  • A. Paul Bransom
    Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
  • B. Bob Jordan
    Bob Jordan is an American business executive best known as the Chief Executive Officer of Southwest Airlines.
  • C. Brian Fleming
    Brian Fleming is a personal name shared by several individuals, most commonly associated with professionals in fields such as law, politics, and the arts.
  • D. Luke Murray
    Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
  • E. Roger Bresnahan
    Roger Bresnahan was an innovative early 20th-century Major League Baseball catcher and Hall of Famer, known for pioneering the use of protective equipment such as shin guards.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae12d708190bcfe91e3ab53f04e completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b63b85c819096fc8ad12ace4d22 completed March 8, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69ae0bc55fcc8190bf117ef1328b8a76 completed March 8, 2026, 11:52 p.m.
Created at: March 4, 2026, 7:37 p.m.