Triple

T3671701
Position Surface form Disambiguated ID Type / Status
Subject Praise (novel) E77894 entity
Predicate author P4 FINISHED
Object Andrew McGahan E383455 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: Andrew McGahan | Statement: [Praise (novel), author, Andrew McGahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew McGahan
Context triple: [Praise (novel), author, Andrew McGahan]
  • A. Andrew McGahan chosen
    Andrew McGahan was an acclaimed Australian novelist and screenwriter known for his darkly comic and socially incisive works, including the Miles Franklin Award–winning novel "The White Earth."
  • B. Neil McEvoy
    Neil McEvoy is a Canadian football executive best known for serving in senior football operations and personnel roles, including general manager, with the BC Lions of the Canadian Football League.
  • C. Paul McGinness
    Paul McGinness was an Australian aviator and World War I flying ace best known as one of the co-founders of Qantas Airways.
  • D. Michael Whelan
    Michael Whelan is an acclaimed American artist best known for his influential science fiction and fantasy book and album cover illustrations.
  • E. Stephen McCauley
    Stephen McCauley is an American novelist known for his witty, character-driven fiction exploring contemporary relationships and urban life.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42de1bc819090e19dd0805f13a1 completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4e0abd08190895897c62a7a5243 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:25 p.m.