Triple

T3645007
Position Surface form Disambiguated ID Type / Status
Subject James Gillett E77276 entity
Predicate officeState P50004 FINISHED
Object California E26 NE FINISHED

How this triple was built (3 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: [James Gillett, officeState, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: California
Context triple: [James Gillett, officeState, California]
  • A. Kalifornia
    Kalifornia is a 1993 neo-noir road thriller film that follows a journalist couple researching serial killers while unknowingly traveling with one.
  • B. 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.
  • C. CA
    CA is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Canada in international standards and systems.
  • D. CA
    CA is the vehicle registration code used on license plates for the Italian city of Cagliari.
  • E. CA
    CA is the two-letter U.S. postal abbreviation for the state of California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeState
Context triple: [James Gillett, officeState, California]
  • A. office
    Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
  • B. orderInOffice
    Indicates that one entity holds a specific sequential position or rank within a defined term or period of holding an office or official role.
  • C. layOffice
    Indicates that one entity holds or occupies a particular office, position, or role in relation to another entity.
  • D. notableOfficeStatus
    Indicates that an entity holds or has held a particularly significant or distinguished official position or office.
  • E. officeIsIn
    Indicates that one office is located within or inside another specified place or building.
  • F. None of above. chosen

Provenance (5 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35da84c81908950de92ba171fa3 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f02b3c081909705e05ac923f840 completed March 13, 2026, 5:53 p.m.
PD Predicate disambiguation batch_69adb8445b2c8190ab07f6ad4e010d0e completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb8e4ba948190a9b777cf7f788b96 completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:24 p.m.