Triple

T16748675
Position Surface form Disambiguated ID Type / Status
Subject RefWorks E407019 entity
Predicate operatedBy P86 FINISHED
Object ProQuest E1232531 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: ProQuest | Statement: [RefWorks, operatedBy, ProQuest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ProQuest
Context triple: [RefWorks, operatedBy, ProQuest]
  • A. ProQuest chosen
    ProQuest is a global information-content and technology company best known for providing access to dissertations, academic journals, and other scholarly resources through its digital research databases and tools.
  • B. EBSCOhost
    EBSCOhost is an online research platform that provides access to a wide range of academic databases, journals, and other scholarly resources.
  • C. JSTOR
    JSTOR is a digital library providing access to a vast archive of academic journals, books, and primary sources used by researchers, students, and institutions worldwide.
  • D. Questel
    Questel is the surname of Mae Questel, the American actress best known as the original voice of Betty Boop and Olive Oyl.
  • E. Scopus
    Scopus is a large abstract and citation database of peer-reviewed literature covering scientific, technical, medical, and social science research.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa2532ac81908e5ee5148e35f92e completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaf3c6088190a8301a9613d74474 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:21 a.m.