Triple

T15605157
Position Surface form Disambiguated ID Type / Status
Subject Magic by the Numbers E375139 entity
Predicate author P4 FINISHED
Object Lyndon Hardy E375139 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: Lyndon Hardy | Statement: [Magic by the Numbers, author, Lyndon Hardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyndon Hardy
Context triple: [Magic by the Numbers, author, Lyndon Hardy]
  • A. Lyndon Hardy chosen
    Lyndon Hardy is an American physicist and science fiction author best known for his "Magic by the Numbers" fantasy series.
  • B. Lyndon Andrews
    Lyndon Andrews is a retired Trinidad and Tobago footballer who played as a midfielder and represented his country at international level.
  • C. Lyndon Smith
    Lyndon Smith is an American actress best known for her television roles in series such as "Parenthood" and "Public Morals."
  • D. Lyndon Dykes
    Lyndon Dykes is a professional footballer who plays as a striker, known for representing the Scotland national team and clubs in the English Football League.
  • E. Lyndon Mustoe
    Lyndon Mustoe is a former Welsh rugby union prop who played for clubs such as Cardiff and Gloucester and earned caps for the Wales national team.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7d9328819090e93d55881269a5 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d3541c8190a5a2aa9730260562 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.