Triple

T20155363
Position Surface form Disambiguated ID Type / Status
Subject Bob Ellis E491547 entity
Predicate wroteFor P1996 FINISHED
Object The Australian 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: The Australian | Statement: [Bob Ellis, wroteFor, The Australian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Australian
Context triple: [Bob Ellis, wroteFor, The Australian]
  • A. The Australian chosen
    The Australian is a national broadsheet newspaper in Australia known for its coverage of politics, business, and current affairs.
  • B. Les Vues de l’Australie
    Les Vues de l’Australie is a panoramic wallpaper design featuring expansive scenic views inspired by the Australian landscape.
  • C. Australia’s Local Hero
    Australia’s Local Hero is a national award that recognises individuals who have made outstanding contributions to their local communities across Australia.
  • D. Quigley Down Under
    Quigley Down Under is a 1990 Western film starring Tom Selleck as an American sharpshooter who travels to Australia and becomes embroiled in a conflict over the mistreatment of Aboriginal people.
  • E. Tooraweenah
    Tooraweenah is a small rural village in New South Wales, Australia, known as a gateway to the Warrumbungle National Park.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667df7ac081908816d2d29e7c6513 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.