Triple

T22023636
Position Surface form Disambiguated ID Type / Status
Subject Ken (Barbie) E543901 entity
Predicate hasVariant P455 FINISHED
Object Dream Date Ken 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: Dream Date Ken | Statement: [Ken (Barbie), hasVariant, Dream Date Ken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dream Date Ken
Context triple: [Ken (Barbie), hasVariant, Dream Date Ken]
  • A. Kens chosen
    Kens are the male doll counterparts to Barbies in the fictional, pastel-colored world of Barbieland.
  • B. Nada Kenka Matsuri
    Nada Kenka Matsuri is a famous autumn fighting festival in Himeji, Japan, known for its dramatic clashes of elaborately decorated portable shrines.
  • C. Kendo Kaponi
    Kendo Kaponi is a Puerto Rican rapper and songwriter known for his raw, aggressive style and influential presence in the Latin urban and reggaeton scene.
  • D. Kendek
    Kendek is a constituent tribe or subgroup of the Karluk confederation, a historical Turkic tribal union of Central Asia.
  • E. Courken
    Courken is the Armenian given name of George Deukmejian, the 35th governor of California.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c9959481908da6bed356199f75 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:23 p.m.