Triple

T2865076
Position Surface form Disambiguated ID Type / Status
Subject Kate Mara E63418 entity
Predicate relative P37 FINISHED
Object Tim Mara E10061 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: Tim Mara | Statement: [Kate Mara, relative, Tim Mara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Mara
Context triple: [Kate Mara, relative, Tim Mara]
  • A. Tim Mara chosen
    Tim Mara was an American businessman best known for establishing and owning the New York Giants franchise in the National Football League.
  • B. Bert Bell
    Bert Bell was an influential American football executive who co-founded the Philadelphia Eagles and later served as NFL commissioner, helping shape the modern league.
  • C. John Whitehurst
    John Whitehurst was an 18th-century English clockmaker, scientist, and inventor known for his contributions to geology and membership in the influential Lunar Society of Birmingham.
  • D. Clark Shaughnessy
    Clark Shaughnessy was an innovative American football coach best known for popularizing the modern T-formation and revolutionizing offensive strategy in the sport.
  • E. Teackle Wallis Warfield
    Teackle Wallis Warfield was an American businessman and socialite best known as the father of Wallis Simpson, the future Duchess of Windsor.
  • 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_69ab4c42fb8c8190b36e161d47c03b81 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdfb9e64c819087b1a47caeb174d5 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01da458ec8190ae07237d7e23b302 completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.