Triple

T737552
Position Surface form Disambiguated ID Type / Status
Subject White House press corps E14966 entity
Predicate employersInclude P19424 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: [White House press corps, employersInclude, Reuters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reuters
Context triple: [White House press corps, employersInclude, 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. Wikinews
    Wikinews is a free, collaboratively written online news source that is part of the Wikimedia family of projects.
  • D. The New York Times
    The New York Times is a leading American newspaper renowned for its influential journalism, extensive global coverage, and role as a newspaper of record.
  • E. Atlantic Media
    Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9ba3888190889a1ad554f73c5e completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e40b9c8190ab4314e63826d00a completed March 3, 2026, 3:26 a.m.
Created at: March 1, 2026, 7:37 p.m.