Triple

T21093697
Position Surface form Disambiguated ID Type / Status
Subject Deion Elliot E519702 entity
Predicate friend P8712 FINISHED
Object Kym NE NERFINISHED

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: Kym | Statement: [Deion Elliot, friend, Kym]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kym
Context triple: [Deion Elliot, friend, Kym]
  • A. Kimberly chosen
    Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
  • B. Kimberly
    Kimberly is a small city located in Idaho’s Magic Valley region, known for its agricultural surroundings and close proximity to Twin Falls.
  • C. Kelli
    Kelli is a feminine given name, typically considered a variant spelling of Kelly.
  • D. Keally
    Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
  • E. Kayely
    Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e70950a31c8190bde2d7b414c362c7 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:51 p.m.