Triple

T22593973
Position Surface form Disambiguated ID Type / Status
Subject William Nack E574622 entity
Predicate employer P7 FINISHED
Object Newsday NE NERFINISHED

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: Newsday | Statement: [William Nack, employer, Newsday]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newsday
Context triple: [William Nack, employer, Newsday]
  • A. Newsday chosen
    Newsday is a major American daily newspaper based on Long Island, New York, known for its regional news coverage and investigative reporting.
  • B. Newsday
    Newsday is an international news and current affairs program broadcast by BBC World News, featuring global headlines, analysis, and live reports.
  • C. The Journal News
    The Journal News is a regional daily newspaper serving the Lower Hudson Valley suburbs of New York City, known for its local news coverage and investigative reporting.
  • D. The Daily News
    The Daily News was a prominent London-based British newspaper known for its liberal stance and influential journalism in the 19th and early 20th centuries.
  • E. New York Daily News
    The New York Daily News is a major New York City tabloid newspaper known for its bold headlines, extensive local coverage, and influential role in American journalism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16163cb248190b377b110d80a6730 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.