Triple

T15898040
Position Surface form Disambiguated ID Type / Status
Subject Louis Bayard E385513 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: [Louis Bayard, employer, The Washington Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Washington Post
Context triple: [Louis Bayard, 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563b0e4c8190b338672dfb122665 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04d4d1c819091d9b3357ca0deca completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.