Triple

T20441749
Position Surface form Disambiguated ID Type / Status
Subject Venus Felix E501411 entity
Predicate meaningOfName P1966 FINISHED
Object Venus the Lucky 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 the Lucky | Statement: [Venus Felix, meaningOfName, Venus the Lucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venus the Lucky
Context triple: [Venus Felix, meaningOfName, Venus the Lucky]
  • A. Venus Felix chosen
    Venus Felix is a benevolent aspect of the Roman goddess Venus, venerated for bringing good fortune, success, and favorable outcomes.
  • B. Venus the Victorious
    Venus the Victorious is a representation of the Roman goddess Venus in her triumphant aspect, symbolizing beauty, love, and conquest.
  • C. Venus Anadyomene
    Venus Anadyomene is a classical artistic motif depicting the goddess Venus (Aphrodite) rising from the sea, often shown wringing water from her hair.
  • D. Venusia
    Venusia was an important ancient city of Lucania in southern Italy, known for its strategic location and Roman colonial history.
  • E. Venus Libertina
    Venus Libertina is a Roman aspect of the goddess Venus associated with freedom and the liberation of slaves.
  • 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.