Triple

T15368189
Position Surface form Disambiguated ID Type / Status
Subject Lords of Dogtown E367469 entity
Predicate portrays P264 FINISHED
Object Tony Alva E793514 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 Alva | Statement: [Lords of Dogtown, portrays, Tony Alva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Alva
Context triple: [Lords of Dogtown, portrays, Tony Alva]
  • A. Tony Alva chosen
    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.
  • B. Stacy Peralta
    Stacy Peralta is an American skateboarder, filmmaker, and entrepreneur best known as a pioneering member of the Z-Boys and director of influential skateboarding documentaries like "Dogtown and Z-Boys."
  • C. 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.
  • D. 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.
  • E. Warren E. Miller
    Warren E. Miller was a pioneering American political scientist best known for his foundational work in the study of voting behavior and public opinion, particularly through the American National Election Studies.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13457418819088232270b092c969 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.