Triple

T16391625
Position Surface form Disambiguated ID Type / Status
Subject Fabricio Werdum E398065 entity
Predicate organization P629 FINISHED
Object K-1 E1026690 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: K-1 | Statement: [Fabricio Werdum, organization, K-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K-1
Context triple: [Fabricio Werdum, organization, 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 (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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326436ce881909f0f3899b8d931aa completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c58280081908e4d73a75b09dbb8 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:08 a.m.