Triple

T17932170
Position Surface form Disambiguated ID Type / Status
Subject Doteveryone E448358 entity
Predicate notableWork P4 FINISHED
Object Digital Attitudes research NE NERFINISHED

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: Digital Attitudes research | Statement: [Doteveryone, notableWork, Digital Attitudes research]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Digital Attitudes research
Context triple: [Doteveryone, notableWork, Digital Attitudes research]
  • A. Global Attitudes & Trends section
    The Global Attitudes & Trends section is a part of the Pew Research Center website that presents international public opinion data and analyses on political, economic, social, and cultural issues around the world.
  • B. Digital Research
    Digital Research was a pioneering software company best known for creating early microcomputer operating systems such as CP/M and its 16-bit variants.
  • C. Attitudes
    Attitudes was a 1970s American rock band known for its association with George Harrison and its releases on his Dark Horse Records label.
  • D. Attitudes
    Attitudes was a popular 1980s American daytime talk show on the Lifetime network, known for its focus on women's issues and co-hosted by Linda Dano.
  • E. Social Research Library
    The Social Research Library is a specialized branch of the UC Berkeley Library system that supports scholarship in the social sciences with focused collections and research services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Digital Attitudes research
Target entity description: Digital Attitudes research is a study by the UK think tank Doteveryone that explores how people understand, feel about, and experience the impacts of digital technologies in their everyday lives.
  • A. Global Attitudes & Trends section
    The Global Attitudes & Trends section is a part of the Pew Research Center website that presents international public opinion data and analyses on political, economic, social, and cultural issues around the world.
  • B. Digital Research
    Digital Research was a pioneering software company best known for creating early microcomputer operating systems such as CP/M and its 16-bit variants.
  • C. Attitudes
    Attitudes was a 1970s American rock band known for its association with George Harrison and its releases on his Dark Horse Records label.
  • D. Attitudes
    Attitudes was a popular 1980s American daytime talk show on the Lifetime network, known for its focus on women's issues and co-hosted by Linda Dano.
  • E. Social Research Library
    The Social Research Library is a specialized branch of the UC Berkeley Library system that supports scholarship in the social sciences with focused collections and research services.
  • F. None of above. chosen

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a552bb848190871251474cc208d5 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.