Triple

T8959366
Position Surface form Disambiguated ID Type / Status
Subject David Elfick E213559 entity
Predicate notableWork P4 FINISHED
Object Newsfront E114307 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: Newsfront | Statement: [David Elfick, notableWork, Newsfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newsfront
Context triple: [David Elfick, notableWork, Newsfront]
  • A. Newsfront chosen
    Newsfront is a 1978 Australian drama film that follows newsreel cameramen in the post–World War II era and is widely regarded as a landmark of the Australian New Wave cinema movement.
  • B. Newsroom
    Newsroom is a CNN Philippines television news program that delivers national and international news, current affairs, and breaking stories to Filipino audiences.
  • C. The News
    The News was an earlier Raleigh, North Carolina newspaper that eventually merged or evolved into what is now known as The News & Observer.
  • D. News Media
    News Media is a business segment focused on producing and distributing news and related content across platforms such as television, print, and digital media.
  • E. Press Gazette
    Press Gazette is a UK-based media industry publication that covers journalism and the news business, including reporting on and organizing major press awards.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc672b12b48190a9d964f79b96d237 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc946a2f88190b7cd0fca67d31dfd completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 7 p.m.