Triple

T1623764
Position Surface form Disambiguated ID Type / Status
Subject Dante Gabriel Rossetti E35090 entity
Predicate notableWork P4 FINISHED
Object Beata Beatrix E42776 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: Beata Beatrix | Statement: [Dante Gabriel Rossetti, notableWork, Beata Beatrix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beata Beatrix
Context triple: [Dante Gabriel Rossetti, notableWork, Beata Beatrix]
  • A. Beata Beatrix chosen
    Beata Beatrix is a celebrated painting by Dante Gabriel Rossetti that portrays a trance-like Beatrice and exemplifies the spiritual, symbolic style of the Pre-Raphaelite movement.
  • B. Beatrix
    Beatrix is the former Queen of the Netherlands who reigned from 1980 until her abdication in 2013.
  • C. Beatrix
    Beatrix is the first name of the beloved English author and illustrator Beatrix Potter, famed for creating classic children's tales such as "The Tale of Peter Rabbit."
  • D. Hedvig
    Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
  • E. Dagmar
    Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909d0586c81909e399b636e130ff5 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6092fdd0819099bde0004de869c4 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:28 p.m.