Triple

T10734756
Position Surface form Disambiguated ID Type / Status
Subject Vesper E253164 entity
Predicate identifiedWith P13264 FINISHED
Object planet Venus E19350 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: planet Venus | Statement: [Vesper, identifiedWith, planet Venus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: planet Venus
Context triple: [Vesper, identifiedWith, planet Venus]
  • A. 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.
  • B. Venus
    "Venus" is a pop studio album by Swedish singer Zara Larsson, showcasing her polished, dance-oriented sound and contemporary songwriting.
  • C. Venus chosen
    Venus is the second planet from the Sun, known for its dense, toxic atmosphere, extreme surface temperatures, and bright visibility in Earth's sky.
  • D. Venus
    "Venus" is a 2006 British comedy-drama film directed by Roger Michell, starring Peter O'Toole as an aging actor whose life is shaken up by his unexpected relationship with a young woman.
  • E. Venus
    Venus is a small suburban town within the greater Dallas–Fort Worth metropolitan area in Texas.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71020e1c881909e40f398de2bdd25 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de557c4ea4819090b0c6c2175e05ea completed April 14, 2026, 2:55 p.m.
Created at: April 8, 2026, 9:14 p.m.