Triple

T9556277
Position Surface form Disambiguated ID Type / Status
Subject Sandro Botticelli E230546 entity
Predicate notableWork P4 FINISHED
Object Venus and Mars E43664 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 and Mars | Statement: [Sandro Botticelli, notableWork, Venus and Mars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Venus and Mars
Context triple: [Sandro Botticelli, notableWork, Venus and Mars]
  • A. Venus and Mars chosen
    "Venus and Mars" is a 1975 rock album by Paul McCartney and Wings, known for its melodic pop-rock style and serving as the follow-up to the hugely successful "Band on the Run."
  • 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
    Venus is a Romanian Black Sea seaside resort town in Constanța County, known for its beaches and tourism.
  • D. Venus
    Venus is the Roman goddess of love, beauty, and fertility, often depicted as the divine ancestor and protector of Aeneas and the Roman people.
  • E. Venus
    Venus is a Procter & Gamble personal care brand best known for its women's razors and shaving products.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9927209c8190bbb494fc9003bc99 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2ffd03dac81909f6c91afb8d49521 completed April 6, 2026, 12:35 a.m.
Created at: March 30, 2026, 8:03 p.m.