Triple

T21207586
Position Surface form Disambiguated ID Type / Status
Subject John Tams E522628 entity
Predicate name P16 FINISHED
Object John Tams 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: John Tams | Statement: [John Tams, name, John Tams]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tams
Context triple: [John Tams, name, John Tams]
  • A. John Tams chosen
    John Tams is an English actor, musician, and folk singer best known for his work on the TV series "Sharpe" and his influential contributions to British folk music.
  • B. Thomas McGuire
    Thomas McGuire was a highly decorated American World War II fighter ace and Medal of Honor recipient renowned for his aerial combat achievements in the Pacific Theater.
  • C. J. Troup
    J. Troup is an individual notable enough to be recognized as a prominent bearer of the surname Troup.
  • D. Bill Tilman
    Bill Tilman was a renowned British mountaineer and explorer known for pioneering Himalayan climbs and adventurous sea voyages to remote mountain regions.
  • E. Lyndon Andrews
    Lyndon Andrews is a retired Trinidad and Tobago footballer who played as a midfielder and represented his country at international level.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734362c788190bc1b96d3b84c0ad1 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:24 p.m.