Triple

T36606583
Position Surface form Disambiguated ID Type / Status
Subject I.F. Stone's Weekly E903058 entity
Predicate journalisticApproach P89241 FINISHED
Object document-based investigative reporting 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: document-based investigative reporting | Statement: [I.F. Stone's Weekly, journalisticApproach, document-based investigative reporting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: journalisticApproach
Context triple: [I.F. Stone's Weekly, journalisticApproach, document-based investigative reporting]
  • A. journalismType chosen
    Indicates the specific category or style of journalism that characterizes a given journalistic work or activity.
  • B. journalisticPrinciple
    Indicates a normative guideline or standard that governs how journalistic work should be conducted or evaluated.
  • C. investigativeStyle
    Indicates the manner or approach an entity uses when conducting investigations or inquiries.
  • D. basedOnExperienceAsJournalist
    Indicates that something is determined, influenced, or derived from a person's prior work or role as a journalist.
  • E. comparedJournalismTo
    Indicates that one entity explicitly likened or evaluated something in relation to journalism, drawing a comparison between the two.
  • 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_69f76e66b7b88190848f7a3e1188915f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c3403a04819087d3c5bca58d1ef0 completed May 3, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69f7c1bbf5848190a698fdbec307886a completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:11 p.m.