Triple

T5775688
Position Surface form Disambiguated ID Type / Status
Subject George F. Will E127434 entity
Predicate employer P7 FINISHED
Object The Washington Post E12822 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: The Washington Post | Statement: [George F. Will, employer, The Washington Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Washington Post
Context triple: [George F. Will, employer, The Washington Post]
  • A. Washington Post chosen
    The Washington Post is a major American newspaper renowned for its investigative journalism, particularly its pivotal reporting on the Watergate scandal that led to President Nixon’s resignation.
  • B. The Washington Times
    The Washington Times is a conservative-leaning daily newspaper based in Washington, D.C., known for its political coverage and commentary.
  • C. 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.
  • D. Free Press
    Free Press is an American publishing imprint known for releasing influential works of nonfiction, including titles in politics, history, and current affairs.
  • E. USA Today
    USA Today is a widely circulated American daily newspaper known for its concise reporting, colorful design, and national focus.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029de3bb4819087a6f3e920e12990 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dedffd481909fafd916190b016f completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:50 p.m.