Triple

T11546586
Position Surface form Disambiguated ID Type / Status
Subject Tony Hawk E273789 entity
Predicate name P16 FINISHED
Object Tony Hawk E273789 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: Tony Hawk | Statement: [Tony Hawk, name, Tony Hawk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Hawk
Context triple: [Tony Hawk, name, Tony Hawk]
  • A. Tony Hawk chosen
    Tony Hawk is an American professional skateboarder widely regarded as one of the most influential figures in the history of the sport and a pioneer of modern vertical skateboarding.
  • B. Tony Hawks
    Tony Hawks is a British comedian and author best known for his radio and television comedy work, including frequent appearances on BBC panel shows.
  • C. Rodney Mullen
    Rodney Mullen is an American professional skateboarder widely regarded as the "Godfather of Street Skating" for inventing numerous foundational tricks and revolutionizing modern skateboarding.
  • D. Tony Alva
    Tony Alva is a pioneering American skateboarder and surfer, best known as one of the original Z-Boys who helped revolutionize modern skateboarding in the 1970s.
  • E. Shaun White
    Shaun White is an American professional snowboarder and skateboarder, widely regarded as one of the greatest in his sport and a multi-time Olympic gold medalist.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e3ad548190b2c88332f5d919bd completed April 10, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e71392d0388190971bab8906e5e6df completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.