Triple

T17723838
Position Surface form Disambiguated ID Type / Status
Subject Josephine Archer Cameron E442407 entity
Predicate basedOnPublicSources P114485 FINISHED
Object yes 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: yes | Statement: [Josephine Archer Cameron, basedOnPublicSources, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnPublicSources
Context triple: [Josephine Archer Cameron, basedOnPublicSources, yes]
  • A. usesInformationSources
    Indicates that an entity relies on or consults specified information sources to perform actions, make decisions, or obtain knowledge.
  • B. basedOnFactFrom chosen
    Indicates that something is derived, justified, or constructed using factual information obtained from a specified source.
  • C. primarySources
    Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
  • D. isOfficialSourceFor
    Indicates that one entity is recognized as an authoritative or formally sanctioned provider of information or content about another entity.
  • E. basedOnSourcesUpTo
    Indicates that something is derived, justified, or determined using information available only up to a specified point in time.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4748900608190bf5ba04415edaffc completed April 19, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69e3cde815e08190881972e2d80d151e completed April 18, 2026, 6:31 p.m.
Created at: April 10, 2026, 10:07 a.m.