Triple

T16516939
Position Surface form Disambiguated ID Type / Status
Subject Kain Route E401207 entity
Predicate namedAfter P63 FINISHED
Object Conrad Kain E401206 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: Conrad Kain | Statement: [Kain Route, namedAfter, Conrad Kain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Kain
Context triple: [Kain Route, namedAfter, Conrad Kain]
  • A. Conrad Kain chosen
    Conrad Kain was an Austrian mountain guide and pioneering alpinist renowned for numerous first ascents in the Canadian Rockies and beyond.
  • B. Konrad Hurrell
    Konrad Hurrell is a powerful Tongan professional rugby league centre known for his explosive running and hard-hitting style in top-level competitions such as the NRL and Super League.
  • C. Garth Craven
    Garth Craven is a film editor known for his work on major Hollywood productions, including the comedy sequel "Miss Congeniality 2: Armed and Fabulous."
  • D. Simon Krieger
    Simon Krieger is a primary antagonist in the video game "Spider-Man: Miles Morales," depicted as a ruthless executive of the energy corporation Roxxon.
  • E. Conrad Riggs
    Conrad Riggs is a television producer best known for his executive production work on major reality TV franchises, including "The Apprentice."
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7c7e588190acbcc2b807a98909 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a59eb48190901ba7907c09639d completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:14 a.m.