Triple

T15113426
Position Surface form Disambiguated ID Type / Status
Subject Swayze Field E360971 entity
Predicate namedAfter P63 FINISHED
Object Tom Swayze
Tom Swayze was a notable figure in American college baseball, best known as a long-time and highly successful head coach at the University of Mississippi.
 E1139237 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 Swayze | Statement: [Swayze Field, namedAfter, Tom Swayze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Swayze
Context triple: [Swayze Field, namedAfter, Tom Swayze]
  • A. Patrick Swayze
    Patrick Swayze was an American actor and dancer best known for his charismatic leading roles in hit films such as "Dirty Dancing" and "Ghost."
  • B. Don Swayze
    Don Swayze is an American character actor known for his work in film and television, often appearing in supporting and guest roles across various dramas and action series.
  • C. Jesse Wayne Swayze
    Jesse Wayne Swayze was the father of American actor and dancer Patrick Swayze.
  • D. John Travolta
    John Travolta is an American actor, singer, and producer known for iconic roles in films such as "Saturday Night Fever," "Grease," and "Pulp Fiction."
  • E. Corey Haim
    Corey Haim was a Canadian actor and 1980s teen idol best known for his roles in films like "The Lost Boys" and other coming-of-age and horror movies.
  • 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 Swayze
Triple: [Swayze Field, namedAfter, Tom Swayze]
Generated description
Tom Swayze was a notable figure in American college baseball, best known as a long-time and highly successful head coach at the University of Mississippi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Swayze
Target entity description: Tom Swayze was a notable figure in American college baseball, best known as a long-time and highly successful head coach at the University of Mississippi.
  • A. Patrick Swayze
    Patrick Swayze was an American actor and dancer best known for his charismatic leading roles in hit films such as "Dirty Dancing" and "Ghost."
  • B. Don Swayze
    Don Swayze is an American character actor known for his work in film and television, often appearing in supporting and guest roles across various dramas and action series.
  • C. Jesse Wayne Swayze
    Jesse Wayne Swayze was the father of American actor and dancer Patrick Swayze.
  • D. John Travolta
    John Travolta is an American actor, singer, and producer known for iconic roles in films such as "Saturday Night Fever," "Grease," and "Pulp Fiction."
  • E. Corey Haim
    Corey Haim was a Canadian actor and 1980s teen idol best known for his roles in films like "The Lost Boys" and other coming-of-age and horror movies.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058d786c8190937c6819255c01bd completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eccb988190aae27dd28cf50997 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69febc7e6d408190983a1f1e706c67b1 completed May 9, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69febd10a9a08190aabfa072199db5c9 completed May 9, 2026, 4:50 a.m.
Created at: April 10, 2026, 3:05 a.m.