Triple

T18254686
Position Surface form Disambiguated ID Type / Status
Subject Brian Nosek E437192 entity
Predicate coFounded P104 FINISHED
Object Center for Open Science NE NERFINISHED

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: Center for Open Science | Statement: [Brian Nosek, coFounded, Center for Open Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Center for Open Science
Context triple: [Brian Nosek, coFounded, Center for Open Science]
  • A. Center for Open Science chosen
    The Center for Open Science is a nonprofit organization dedicated to increasing the openness, integrity, and reproducibility of scientific research through tools, infrastructure, and advocacy.
  • B. OSF
    OSF is the IATA airport code for Ostafyevo International Airport serving the Moscow region in Russia.
  • C. Open Knowledge Foundation
    Open Knowledge Foundation is a global nonprofit organization that promotes open data and open knowledge to foster transparency, innovation, and civic engagement.
  • D. Open Data Lab
    Open Data Lab is a World Wide Web Foundation initiative that supports the use of open data to drive social impact, innovation, and better governance, particularly in developing countries.
  • E. Harvard Dataverse
    Harvard Dataverse is a research data repository platform that enables scholars to share, publish, and preserve datasets, primarily used by the academic community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd84b3a481908bbc1a5e5034d397 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.