Triple

T13701006
Position Surface form Disambiguated ID Type / Status
Subject To Wong Foo, Thanks for Everything! Julie Newmar E328516 entity
Predicate starring P1507 FINISHED
Object Patrick Swayze E302604 NE FINISHED

How this triple was built (2 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: Patrick Swayze | Statement: [To Wong Foo, Thanks for Everything! Julie Newmar, starring, Patrick Swayze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Patrick Swayze
Context triple: [To Wong Foo, Thanks for Everything! Julie Newmar, starring, Patrick Swayze]
  • A. Patrick Swayze chosen
    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. Ryan O'Neal
    Ryan O'Neal is an American actor best known for his leading roles in films such as "Love Story," "Paper Moon," and "Barry Lyndon."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794575d3881908de6ed988d848918 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.