Triple

T22832035
Position Surface form Disambiguated ID Type / Status
Subject Jacinta E565827 entity
Predicate relatedName P3889 FINISHED
Object Hyacinth 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: Hyacinth | Statement: [Jacinta, relatedName, Hyacinth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyacinth
Context triple: [Jacinta, relatedName, Hyacinth]
  • A. Hyacinth chosen
    Hyacinth is a given name of Greek origin, historically associated with mythological and floral imagery and used for people of any gender.
  • B. Ortensia
    Ortensia is a secondary female character in Carlo Goldoni’s 18th-century Italian comedy "La locandiera," contributing to the play’s intricate social and romantic dynamics.
  • C. Ixia
    Ixia is a popular seaside resort village on the northwest coast of Rhodes, Greece, known for its long pebble beach and windsurfing conditions.
  • D. Ixia
    Ixia is a genus of flowering plants native to South Africa, known for their colorful, star-shaped blooms often grown as ornamental garden and cut flowers.
  • E. Lysianka
    Lysianka is an urban-type settlement in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2c8d3881909eb19d65187ed719 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.