Triple

T10784530
Position Surface form Disambiguated ID Type / Status
Subject Venus of Urbino E254418 entity
Predicate subject P450 FINISHED
Object Venus E116817 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: Venus | Statement: [Venus of Urbino, subject, Venus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venus
Context triple: [Venus of Urbino, subject, Venus]
  • A. Venus
    Venus is a Procter & Gamble personal care brand best known for its women's razors and shaving products.
  • B. Venus
    Venus is the second planet from the Sun, known for its dense, toxic atmosphere, extreme surface temperatures, and bright visibility in Earth's sky.
  • C. Venus chosen
    Venus is the Roman goddess of love, beauty, and fertility, often depicted as the divine ancestor and protector of Aeneas and the Roman people.
  • D. Venus
    "Venus" is a pop studio album by Swedish singer Zara Larsson, showcasing her polished, dance-oriented sound and contemporary songwriting.
  • E. Venus
    Venus is a Romanian Black Sea seaside resort town in Constanța County, known for its beaches and tourism.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d2e7cc8190a4cb9a4d7c76ab15 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84c925088190922b9979cf77d01b completed April 14, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:17 p.m.