Triple

T9204836
Position Surface form Disambiguated ID Type / Status
Subject Wendy Hughes E220946 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: [Wendy Hughes, notableWork, Newsfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newsfront
Context triple: [Wendy Hughes, 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd945f37881909f0d30eeb6a7a3ad completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c4e56208190a5b2749b81e467be completed April 4, 2026, 12:33 a.m.
Created at: March 30, 2026, 7:26 p.m.