Triple

T8156292
Position Surface form Disambiguated ID Type / Status
Subject Davy Jones E190456 entity
Predicate associatedWith P37 FINISHED
Object the Kraken E144330 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: the Kraken | Statement: [Davy Jones, associatedWith, the Kraken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Kraken
Context triple: [Davy Jones, associatedWith, the Kraken]
  • A. Kraken chosen
    Kraken is the National Hockey League team based in Seattle, Washington, known for its maritime-themed branding and deep-sea mythological namesake.
  • B. Kraken
    Kraken is a floorless steel roller coaster at SeaWorld Orlando themed around a mythical sea monster and known for its intense inversions and high speeds.
  • C. Kraken
    Kraken is a dark urban fantasy novel by China Miéville that centers on a mysteriously vanished giant squid and the occult underworld of London.
  • D. The Shark
    "The Shark" is a poem by Greek national poet Dionysios Solomos, reflecting his Romantic style and thematic focus on nature and the human condition.
  • E. El Pulpo
    El Pulpo is the notorious nickname for the United Fruit Company, a powerful U.S. corporation historically known for its vast control over banana production and politics in Latin America.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d8a37481909397b5cc321b94be completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf18c30c8190bdd98c4f0c2d28ea completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.