Triple

T8743059
Position Surface form Disambiguated ID Type / Status
Subject Bonfest E207550 entity
Predicate honours P107 FINISHED
Object Bon Scott E207543 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: Bon Scott | Statement: [Bonfest, honours, Bon Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bon Scott
Context triple: [Bonfest, honours, Bon Scott]
  • A. Bon Scott chosen
    Bon Scott was the charismatic Scottish-born Australian rock singer best known as the lead vocalist and lyricist for AC/DC during their classic 1970s era.
  • B. Ronnie James Dio
    Ronnie James Dio was an American heavy metal singer and songwriter renowned for his powerful operatic voice and influential work with bands like Rainbow, Black Sabbath, and his own band Dio.
  • C. Eric Carr
    Eric Carr was an American drummer best known for his powerful playing and "Fox" persona as a longtime member of the rock band Kiss during the 1980s and early 1990s.
  • D. Alan Wilson
    Alan Wilson is a renowned motorsports circuit designer known for creating several modern racetracks around the world.
  • E. Gary Moore
    Gary Moore was a Northern Irish guitarist and singer-songwriter renowned for his emotive blues-rock playing and work with bands like Thin Lizzy as well as his solo career.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d71619481909fc4d87af3d01432 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf518750948190a42ad8fc352ac851 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:38 p.m.