Triple

T15193030
Position Surface form Disambiguated ID Type / Status
Subject Dean Torrence E363067 entity
Predicate notableWork P4 FINISHED
Object Surf City E497137 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: Surf City | Statement: [Dean Torrence, notableWork, Surf City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surf City
Context triple: [Dean Torrence, notableWork, Surf City]
  • A. Surf City chosen
    "Surf City" is a classic 1963 surf rock song by Jan and Dean, celebrated for its catchy harmonies and car-and-beach youth culture themes.
  • B. Surf City
    Surf City is a popular nickname for Santa Cruz, California, highlighting its reputation as a premier West Coast surfing destination.
  • C. Surf City USA
    Surf City USA is the popular coastal moniker for Huntington Beach, California, celebrated for its consistent surf, sandy beaches, and vibrant surf culture.
  • D. Surf Beach
    Surf Beach is a popular coastal swimming and surfing spot in the seaside town of Kiama, New South Wales, Australia.
  • E. Surfer's Beach
    Surfer's Beach is a well-known surfing spot on the Bahamian island of Eleuthera, popular for its consistent waves and laid-back coastal scenery.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067eb710819085211fd05d5fa5f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec8995bb08190bd7f0be0a0fcf1e7 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:10 a.m.