Triple

T10667363
Position Surface form Disambiguated ID Type / Status
Subject Tony Graziani E251389 entity
Predicate playedIn P2170 FINISHED
Object AFL E127456 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: AFL | Statement: [Tony Graziani, playedIn, AFL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AFL
Context triple: [Tony Graziani, playedIn, AFL]
  • A. AFL
    The AFL (Australian Football League) is the premier professional Australian rules football competition in Australia, featuring clubs from across the country.
  • B. AFL
    The AFL (American Federation of Labor) was a major U.S. national federation of labor unions that played a central role in organizing skilled workers and shaping labor policy from the late 19th to mid-20th century.
  • C. AFL chosen
    The AFL (American Football League) was a rival professional American football league to the NFL in the 1960s that ultimately merged with it, helping create the modern Super Bowl era.
  • D. AFL
    The AFL is the national military force of Liberia, responsible for the country’s defense and security.
  • E. Fox Footy
    Fox Footy is an Australian pay television channel dedicated exclusively to comprehensive coverage of Australian rules football, including live matches, analysis, and related programming.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f3204bac8190b9bd8bfcc705b06b completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d97a9ceea08190944354d127f2c73b completed April 10, 2026, 10:33 p.m.
Created at: April 8, 2026, 9:08 p.m.