Triple

T10354321
Position Surface form Disambiguated ID Type / Status
Subject Jessica Bruder E243957 entity
Predicate hasWrittenFor P11775 FINISHED
Object Reuters E18673 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: Reuters | Statement: [Jessica Bruder, hasWrittenFor, Reuters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reuters
Context triple: [Jessica Bruder, hasWrittenFor, Reuters]
  • A. Reuters chosen
    Reuters is a major international news agency and media organization known for providing real-time news and financial information to outlets and markets worldwide.
  • B. Associated Press
    The Associated Press is a major American not-for-profit news agency and cooperative known for its global news coverage and influential photojournalism.
  • C. United Press International
    United Press International is a major American news agency known for providing global news coverage, wire services, and syndicated content to media outlets worldwide.
  • D. Reuters Limited
    Reuters Limited is a major international news organization known for providing real-time news, financial data, and information services to media outlets, businesses, and professionals worldwide.
  • E. Republic.com
    Republic.com is a book by legal scholar Cass Sunstein that examines how the internet and personalized media can fragment public discourse and threaten democratic deliberation.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e952c878819084e5d7a593a3f9e9 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.