Triple

T20441755
Position Surface form Disambiguated ID Type / Status
Subject Venus Felix E501411 entity
Predicate contrastedWith P278 FINISHED
Object Venus Victrix 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: Venus Victrix | Statement: [Venus Felix, contrastedWith, Venus Victrix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venus Victrix
Context triple: [Venus Felix, contrastedWith, Venus Victrix]
  • A. Venus Victrix chosen
    Venus Victrix is a celebrated neoclassical marble sculpture by Antonio Canova depicting Pauline Bonaparte as the goddess Venus.
  • B. Venus Felix
    Venus Felix is a benevolent aspect of the Roman goddess Venus, venerated for bringing good fortune, success, and favorable outcomes.
  • C. Venus Libertina
    Venus Libertina is a Roman aspect of the goddess Venus associated with freedom and the liberation of slaves.
  • D. Venusia
    Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
  • E. Venus Calva
    Venus Calva is a lesser-known aspect of the Roman goddess Venus associated with hair, often invoked in myths and cults relating to the cutting or loss of women’s hair in times of crisis.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f2e8888190a2e0d6b2bf6c905d completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:32 a.m.