Triple

T14613723
Position Surface form Disambiguated ID Type / Status
Subject Kareen E343025 entity
Predicate hasSpellingVariant P457 FINISHED
Object Carine E68597 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: Carine | Statement: [Kareen, hasSpellingVariant, Carine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carine
Context triple: [Kareen, hasSpellingVariant, Carine]
  • A. Carine chosen
    Carine is a feminine given name, often considered a variant of names like Catherine or Karine, used in various European languages.
  • B. Yvette
    Yvette is the given first name of the acclaimed American singer Chaka Khan.
  • C. Yvette
    Yvette is a river in northern France that flows through the Île-de-France region and serves as a tributary of the Orge.
  • D. Chantal
    Chantal is the central protagonist of the animated series "High Seas," around whom the show's main adventures and storylines revolve.
  • E. Chantal
    Chantal is a commune located in the Sud Department of Haiti.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb78c0308190908ba791fd8dc40e completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:25 a.m.