Triple

T3407997
Position Surface form Disambiguated ID Type / Status
Subject Taylor Lautner E71820 entity
Predicate hasResidence P75 FINISHED
Object California, United States E26 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: California, United States | Statement: [Taylor Lautner, hasResidence, California, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: California, United States
Context triple: [Taylor Lautner, hasResidence, California, United States]
  • A. California, United States chosen
    California, United States is a large and populous U.S. state on the West Coast known for its diverse geography, major technology and entertainment industries, and cultural and economic influence.
  • B. Kalifornia
    Kalifornia is a 1993 neo-noir road thriller film that follows a journalist couple researching serial killers while unknowingly traveling with one.
  • C. California, Pennsylvania
    California, Pennsylvania is a small borough in southwestern Pennsylvania best known as the home of PennWest California (formerly California University of Pennsylvania) along the Monongahela River.
  • D. Campo, California
    Campo, California is a small rural community in southeastern San Diego County known as the southern starting point of the Pacific Crest Trail near the U.S.–Mexico border.
  • E. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35468916c8190ba6caa2c53e01d9c completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:15 p.m.