Triple

T18334235
Position Surface form Disambiguated ID Type / Status
Subject Gerry Lopez E439226 entity
Predicate name P16 FINISHED
Object Gerry Lopez NE NERFINISHED

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: Gerry Lopez | Statement: [Gerry Lopez, name, Gerry Lopez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerry Lopez
Context triple: [Gerry Lopez, name, Gerry Lopez]
  • A. Gerry Lopez chosen
    Gerry Lopez is a legendary Hawaiian surfer and surfboard shaper, famed for his mastery of the Banzai Pipeline and influential role in modern surf culture.
  • B. Willy Lopez
    Willy Lopez is a criminal character in the 1990 film "Ghost," known for murdering protagonist Sam Wheat as part of a larger conspiracy.
  • C. Eugene De Rosa
    Eugene De Rosa was an American architect best known for designing prominent early 20th-century theaters and movie palaces in New York City.
  • D. Tim Bessolo
    Tim Bessolo is an individual recognized by the NCAA with its prestigious Award of Valor for extraordinary courage and heroism.
  • E. Eric Gonsalves
    Eric Gonsalves is an Indian diplomat known for his service in the Indian Foreign Service and contributions to India's foreign policy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.