Triple

T12686818
Position Surface form Disambiguated ID Type / Status
Subject Jake Gyllenhaal E303090 entity
Predicate placeOfBirth P1 FINISHED
Object California 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 | Statement: [Jake Gyllenhaal, placeOfBirth, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: California
Context triple: [Jake Gyllenhaal, placeOfBirth, California]
  • A. California
    California is a popular Volkswagen camper van model known for its integrated living amenities and suitability for road trips and outdoor travel.
  • B. California
    "California" is a popular song title most famously associated with the American rock band Phantom Planet, known for its use as the theme song of the television series "The O.C."
  • C. Kalifornia
    Kalifornia is a 1993 neo-noir road thriller film that follows a journalist couple researching serial killers while unknowingly traveling with one.
  • D. 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.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719886708190823f6f7e94e4d199 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.