Triple

T9629431
Position Surface form Disambiguated ID Type / Status
Subject John Kundla E232558 entity
Predicate fullName P16 FINISHED
Object John Albert Kundla E232558 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: John Albert Kundla | Statement: [John Kundla, fullName, John Albert Kundla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Albert Kundla
Context triple: [John Kundla, fullName, John Albert Kundla]
  • A. John Kundla chosen
    John Kundla was a Hall of Fame American basketball coach best known for leading the Minneapolis Lakers to multiple early NBA championships.
  • B. Charles Rettig
    Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
  • C. Joseph Kopechne
    Joseph Kopechne was the father of Mary Jo Kopechne, the young political campaign worker who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
  • D. Walter Lundin
    Walter Lundin was an American cinematographer best known for his work on silent-era comedies, particularly films starring Harold Lloyd.
  • E. Ralph Koltai
    Ralph Koltai was a prominent British theatre designer renowned for his innovative, sculptural stage sets that transformed post-war European theatre aesthetics.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b00162481908f396f6b6e470d6c completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189f7ea448190b9fe123589a9f3c5 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:10 p.m.