Triple

T36929529
Position Surface form Disambiguated ID Type / Status
Subject Snapchat Spotlight E913438 entity
Predicate primaryViewMode P44647 FINISHED
Object full-screen 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: full-screen | Statement: [Snapchat Spotlight, primaryViewMode, full-screen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryViewMode
Context triple: [Snapchat Spotlight, primaryViewMode, full-screen]
  • A. primaryView chosen
    Indicates that one view or representation is designated as the main or default perspective among multiple possible views of the same entity or content.
  • B. primaryMode
    Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
  • C. primaryModes
    Indicates the main methods, forms, or channels through which something typically operates, is expressed, or is carried out.
  • D. primaryFront
    Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
  • E. primaryFor
    Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
  • F. None of above.

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_69f76e896c988190880c130e01303dd4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a10036481909c71188b2a0e7f04 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:13 p.m.