Triple

T17716768
Position Surface form Disambiguated ID Type / Status
Subject Kontiki E442218 entity
Predicate alternativeName P39 FINISHED
Object Kontiki, Inc. 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: Kontiki, Inc. | Statement: [Kontiki, alternativeName, Kontiki, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kontiki, Inc.
Context triple: [Kontiki, alternativeName, Kontiki, Inc.]
  • A. Kontiki chosen
    Kontiki is a peer-to-peer enterprise video and content delivery company co-founded by technology executive Mike Homer.
  • B. Sealink
    Sealink was a major British ferry company that operated passenger and vehicle services across the Irish Sea and English Channel during the 20th century.
  • C. Koniag, Inc.
    Koniag, Inc. is an Alaska Native regional corporation representing the Sugpiaq (Alutiiq) people of the Kodiak Island region, managing land, resources, and business enterprises for the benefit of its shareholders.
  • D. South Pacific Enterprises
    South Pacific Enterprises is the production company behind the classic 1958 film adaptation of the Rodgers and Hammerstein musical "South Pacific."
  • E. Argosy Cruises
    Argosy Cruises is a Seattle-based tour company that operates sightseeing and dining cruises around Elliott Bay and the greater Puget Sound area.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.