Triple

T32976635
Position Surface form Disambiguated ID Type / Status
Subject Alberto Morillas E843681 entity
Predicate hasCreatedFragrancesFor P174239 FINISHED
Object Calvin Klein E39385 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: Calvin Klein | Statement: [Alberto Morillas, hasCreatedFragrancesFor, Calvin Klein]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCreatedFragrancesFor
Context triple: [Alberto Morillas, hasCreatedFragrancesFor, Calvin Klein]
  • A. createdFragranceFor chosen
    Indicates that one entity designed or produced a fragrance specifically for another entity.
  • B. hasFragrance
    Indicates that one entity possesses or emits a particular scent or aroma associated with another entity.
  • C. hasFragranceForm
    Indicates that an entity has a specific form or type of fragrance it is associated with or presented in.
  • D. hasFragranceLine
    Indicates that one entity (typically a brand or company) offers or is associated with a particular line or collection of fragrances.
  • E. launchedPerfume
    Indicates that an entity has introduced or released a perfume product to the market.
  • F. None of above.

Provenance (4 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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34d28695e88190bc50683f9c971fbf completed June 19, 2026, 5:24 a.m.
PD Predicate disambiguation batch_69f7cf769338819092a5f42653dcc956 completed May 3, 2026, 10:43 p.m.
Created at: May 1, 2026, 1:22 a.m.