Triple

T18834845
Position Surface form Disambiguated ID Type / Status
Subject Kimo Leopoldo E460633 entity
Predicate competedIn P149 FINISHED
Object K-1 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: K-1 | Statement: [Kimo Leopoldo, competedIn, K-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-1
Context triple: [Kimo Leopoldo, competedIn, K-1]
  • A. K-1
    K-1 is a partially reusable two-stage orbital launch vehicle concept developed by Rocketplane Kistler for commercial satellite delivery and space station resupply.
  • B. K-1 chosen
    K-1 is a Japanese kickboxing organization best known for its heavyweight tournaments and global influence on stand-up combat sports.
  • C. K-11
    K-11 is an independent drama film set in a Los Angeles jail unit for LGBTQ+ inmates, directed by Jules Mann-Stewart and known for its gritty, character-driven story.
  • D. Kyokushin karate
    Kyokushin karate is a full-contact, highly disciplined style of karate known for its rigorous training, powerful strikes, and emphasis on real combat effectiveness.
  • E. K1
    K1 is the first highly accurate marine chronometer built by Larcum Kendall in the 18th century, famous for its role in improving longitude determination at sea.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99c1394819095c62eef040e552c completed April 20, 2026, 4:20 a.m.
Created at: April 10, 2026, 11:56 a.m.