Triple

T11436973
Position Surface form Disambiguated ID Type / Status
Subject Kia E271033 entity
Predicate shortFormOf P43 FINISHED
Object Kiana E253563 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: Kiana | Statement: [Kia, shortFormOf, Kiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiana
Context triple: [Kia, shortFormOf, Kiana]
  • A. Kiana chosen
    Kiana is a feminine given name used in various cultures, often considered a modern variant of names like Kiana or Kianna.
  • B. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • C. Kiya
    Kiya was a lesser-known wife of the Egyptian pharaoh Akhenaten, often associated with the Amarna period and subject to scholarly debate regarding her origins and role at court.
  • D. Kisha
    "Kisha" is a track from Lil Wayne’s debut studio album "Tha Block Is Hot," showcasing his early Southern hip-hop style.
  • E. Kirsha
    Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8ed579c8190b1ddc1dce20d9617 completed April 20, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:35 p.m.