Triple

T6673194
Position Surface form Disambiguated ID Type / Status
Subject Paula Corbin Jones E151782 entity
Predicate hasOccupationInPast P17879 FINISHED
Object clerical worker for Arkansas Industrial Development Commission LITERAL 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: clerical worker for Arkansas Industrial Development Commission | Statement: [Paula Corbin Jones, hasOccupationInPast, clerical worker for Arkansas Industrial Development Commission]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOccupationInPast
Context triple: [Paula Corbin Jones, hasOccupationInPast, clerical worker for Arkansas Industrial Development Commission]
  • A. hadOccupationStatusUntil
    Indicates that an entity held a particular occupational status up to, but not necessarily beyond, a specified point in time.
  • B. earlierOccupation
    Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
  • C. hasWorkedIn chosen
    Indicates that a person has been employed or has performed work within a particular organization, location, or domain for some period of time.
  • D. hasMajorEmployerHistory
    Indicates that an entity has a documented history of employment with a major or significant employer.
  • E. hasOccupationDuringStory
    Indicates that an entity holds or performs a particular occupation or job role during the time span covered by the story.
  • F. None of above.

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_69c687f830bc81909eb8b04dbb8450b1 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce738fe88190a5557900efeec7ec completed March 27, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69c6ad09974c81908784300ae218961f completed March 27, 2026, 4:15 p.m.
Created at: March 27, 2026, 2:03 p.m.