Triple

T22399817
Position Surface form Disambiguated ID Type / Status
Subject Pomellato E553726 entity
Predicate hasSubsidiaryBrand P25079 FINISHED
Object Dodo 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: Dodo | Statement: [Pomellato, hasSubsidiaryBrand, Dodo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodo
Context triple: [Pomellato, hasSubsidiaryBrand, Dodo]
  • A. Dodo
    Dodo was a Qing dynasty Manchu prince and military leader, known as a prominent son of Empress Xiaocigao and an important figure in the early consolidation of Qing rule in China.
  • B. Dodo chosen
    Dodo is an Italian fine jewelry brand known for its playful, charm-based designs and sustainable luxury positioning.
  • C. Dodo Marmarosa
    Dodo Marmarosa was an American jazz pianist known for his innovative bebop style and influential recordings in the 1940s and 1950s.
  • D. dodo (extinct)
    The dodo was a large, flightless bird endemic to Mauritius that became a symbol of human-driven extinction after disappearing in the 17th century.
  • E. Moa
    Moa is a Cuban city in Holguín Province known for its significant nickel and cobalt mining and processing industries.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b28e58819090624f131ce63a9f completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.