Triple

T2598873
Position Surface form Disambiguated ID Type / Status
Subject Balenciaga E58295 entity
Predicate introducedSilhouette P39514 FINISHED
Object sack dress LITERAL 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: sack dress | Statement: [Balenciaga, introducedSilhouette, sack dress]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: introducedSilhouette
Context triple: [Balenciaga, introducedSilhouette, sack dress]
  • A. introduced
    Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
  • B. introducedRight
    Indicates that one entity formally presented or brought another entity to the attention of a third party or context, with the second entity occupying a role or position on the right side in that introduction.
  • C. introducedAlongWith
    Indicates that one entity was introduced or presented at the same time as another entity, as part of a joint or concurrent introduction.
  • D. introducedAsDemonstrator
    Indicates that one entity is presented or identified to another entity specifically in the role of a demonstrator.
  • E. introducedFor
    Indicates that one entity was presented or brought to the attention of another entity for a specific purpose or role.
  • F. None of above. chosen

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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd4563b8c8190934616651e93654c completed March 7, 2026, 7:31 a.m.
PD Predicate disambiguation batch_69abd0d4e8648190b612eb09aa085451 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1c7b6e48190be9a0c31069df797 completed March 7, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:49 p.m.