Triple

T15710380
Position Surface form Disambiguated ID Type / Status
Subject Wil Haygood E380820 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: [Wil Haygood, employer, The Washington Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Washington Post
Context triple: [Wil Haygood, 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757d74b481909c8332a09ae36b4f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.