Triple

T11853228
Position Surface form Disambiguated ID Type / Status
Subject Melinda Henneberger E281961 entity
Predicate hasWrittenFor P11775 FINISHED
Object USA Today E373204 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: USA Today | Statement: [Melinda Henneberger, hasWrittenFor, USA Today]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USA Today
Context triple: [Melinda Henneberger, hasWrittenFor, USA Today]
  • A. USA Today chosen
    USA Today is a widely circulated American daily newspaper known for its concise reporting, colorful design, and national focus.
  • B. 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.
  • C. Washington Post
    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.
  • D. The Washington Times
    The Washington Times is a conservative-leaning daily newspaper based in Washington, D.C., known for its political coverage and commentary.
  • E. National Post
    The National Post is a Canadian English-language daily newspaper known for its national coverage and generally conservative editorial stance.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167c9d4e88190bfaadada0450e639 completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.