Triple

T4614648
Position Surface form Disambiguated ID Type / Status
Subject Sexiest Man Alive E100837 entity
Predicate hasNotableRecipient P108 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: [Sexiest Man Alive, hasNotableRecipient, Patrick Swayze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Swayze
Context triple: [Sexiest Man Alive, hasNotableRecipient, 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. 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."
  • C. 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."
  • D. Val Kilmer
    Val Kilmer is an American actor known for his versatile performances in films such as "Top Gun," "The Doors," and "Batman Forever."
  • E. Richard Gere
    Richard Gere is an American actor known for his leading roles in films such as "American Gigolo," "An Officer and a Gentleman," and "Pretty Woman."
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c3d9ec8190a50ef03627dc351d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa895b7481909e54cfa56a54c8dc completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.