Triple

T15428839
Position Surface form Disambiguated ID Type / Status
Subject Espen Øino E369580 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Lürssen E366092 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: Lürssen | Statement: [Espen Øino, hasCollaboratedWith, Lürssen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lürssen
Context triple: [Espen Øino, hasCollaboratedWith, Lürssen]
  • A. Lürssen chosen
    Lürssen is a renowned German shipyard specializing in the design and construction of luxury superyachts and naval vessels.
  • B. Ferretti
    Ferretti is an Italian surname most notably associated with acclaimed film production designer and art director Dante Ferretti.
  • C. Mastai-Ferretti
    Mastai-Ferretti is the Italian noble family from which Giovanni Maria Mastai-Ferretti, later Pope Pius IX, originated.
  • D. Meyer Werft
    Meyer Werft is a major German shipbuilding company renowned for constructing large, modern cruise ships at its shipyard in Papenburg.
  • E. Hanse Sail
    Hanse Sail is a major annual maritime festival in Rostock, Germany, renowned for its gathering of traditional sailing ships and large windjammers from around the world.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a827d9081909fabc48bc685ba5b completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.