Triple

T2861127
Position Surface form Disambiguated ID Type / Status
Subject Albert King E63322 entity
Predicate influenced P9 FINISHED
Object Gary Moore E26840 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: Gary Moore | Statement: [Albert King, influenced, Gary Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Moore
Context triple: [Albert King, influenced, Gary Moore]
  • A. Gary Moore chosen
    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.
  • B. Phil Lynott
    Phil Lynott was an Irish singer, bassist, and songwriter best known as the charismatic frontman and primary songwriter of the rock band Thin Lizzy.
  • C. Bon Scott
    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.
  • D. Blackmore
    Blackmore is an English surname borne by various notable individuals across fields such as science, music, and literature.
  • E. Stevie Ray Vaughan
    Stevie Ray Vaughan was a highly influential American blues-rock guitarist and singer known for his fiery playing style, soulful tone, and role in revitalizing blues music in the 1980s.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8c676c8190ab29f89d50bd09c3 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d9b820c8190991bae0e936eed9c completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.