Triple

T4614657
Position Surface form Disambiguated ID Type / Status
Subject Sexiest Man Alive E100837 entity
Predicate hasNotableRecipient P108 FINISHED
Object Dwayne Johnson E126656 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: Dwayne Johnson | Statement: [Sexiest Man Alive, hasNotableRecipient, Dwayne Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dwayne Johnson
Context triple: [Sexiest Man Alive, hasNotableRecipient, Dwayne Johnson]
  • A. Dwayne Johnson chosen
    Dwayne Johnson is an American actor, film producer, and former professional wrestler widely known by his ring name "The Rock" and for starring in numerous blockbuster action and adventure films.
  • B. Terry Crews
    Terry Crews is an American actor, former NFL player, and television host known for his comedic roles, muscular physique, and energetic personality.
  • C. Channing Tatum
    Channing Tatum is an American actor and producer known for his roles in films such as "Magic Mike," "21 Jump Street," and various action and comedy movies.
  • D. John Cena
    John Cena is an American professional wrestler, actor, and television host best known as one of WWE’s most popular and decorated superstars.
  • E. Ed Skrein
    Ed Skrein is a British actor and rapper best known for roles in films such as "Deadpool," "The Transporter Refueled," and "Alita: Battle Angel."
  • 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.