Triple

T19988840
Position Surface form Disambiguated ID Type / Status
Subject God Save the Queen E494004 entity
Predicate guitarist P15278 FINISHED
Object Steve Jones NE NERFINISHED

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: Steve Jones | Statement: [God Save the Queen, guitarist, Steve Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Jones
Context triple: [God Save the Queen, guitarist, Steve Jones]
  • A. Steve Jones
    Steve Jones was a professional basketball player best known for his career in the American Basketball Association and later work as a television commentator.
  • B. Steve Jones chosen
    Steve Jones is an English guitarist and songwriter best known as a founding member of the pioneering punk rock band the Sex Pistols.
  • C. Steve Jones (geneticist)
    Steve Jones is a British geneticist and popular science author known for his work on human genetics and evolution, as well as for presenting genetics to the public through books and broadcasting.
  • D. Jay Tavare
    Jay Tavare is a Native American actor and former model known for his roles in films such as "Pathfinder" and for frequently portraying Indigenous characters in Hollywood productions.
  • E. Geoffrey Hall
    Geoffrey Hall is a cinematographer known for his work on films such as "Chopper," contributing distinctive visual style to Australian cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fddfee081909aa8cd6e279b2a7a completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:30 p.m.