Triple

T17264749
Position Surface form Disambiguated ID Type / Status
Subject John A. Byrne E419095 entity
Predicate employer P7 FINISHED
Object Fast Company E95756 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: Fast Company | Statement: [John A. Byrne, employer, Fast Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fast Company
Context triple: [John A. Byrne, employer, Fast Company]
  • A. Fast Company chosen
    Fast Company is a leading American business media brand and magazine focused on innovation in technology, leadership, and design.
  • B. Wired magazine
    Wired magazine is an American technology and culture publication known for its in-depth coverage of digital innovation, science, and the impact of emerging technologies on society.
  • C. Fortune magazine
    Fortune magazine is a prominent American business publication known for its in-depth reporting on corporate affairs, economics, and its influential rankings such as the Fortune 500.
  • D. Forbes
    Forbes is a global media company best known for its business magazine that ranks and profiles the world’s wealthiest individuals, companies, and influential leaders.
  • E. Forbes
    Forbes is a historic rural town in central-west New South Wales, Australia, known for its agricultural industry and heritage architecture along the Lachlan River.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4432fc81908fd90865822af1fa completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794641648190a5db87ecb359c17a completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:40 a.m.