Triple

T16737579
Position Surface form Disambiguated ID Type / Status
Subject Ariel E406755 entity
Predicate hasVariant P455 FINISHED
Object Arielle E252041 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: Arielle | Statement: [Ariel, hasVariant, Arielle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arielle
Context triple: [Ariel, hasVariant, Arielle]
  • A. Arielle chosen
    Arielle is a given name shared by various individuals, including Arielle Zuckerberg, a venture capitalist and younger sister of Meta co-founder Mark Zuckerberg.
  • B. Ariella
    Ariella is a prominent character in Terry Mancour’s Spellmonger fantasy series, known for her powerful magic, political influence, and complex relationship with the protagonist.
  • C. Arianna
    Arianna is a minor character in the animated TV series "The Cleveland Show," known as the sister of Donna Tubbs.
  • D. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • E. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3b60fc81908cf331448b4b5598 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaf1853c819084d636afe8f3cb2e completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:20 a.m.