Triple

T1368072
Position Surface form Disambiguated ID Type / Status
Subject Adobe Express E30047 entity
Predicate formerName P65 FINISHED
Object Adobe Spark E30047 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: Adobe Spark | Statement: [Adobe Express, formerName, Adobe Spark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adobe Spark
Context triple: [Adobe Express, formerName, Adobe Spark]
  • A. Adobe Express chosen
    Adobe Express is a cloud-based design and content creation tool that enables users to quickly produce graphics, videos, and other visual media using templates and intuitive editing features.
  • B. Adobe Creative Cloud
    Adobe Creative Cloud is a subscription-based suite of creative software and services for tasks like graphic design, video editing, web development, and photography.
  • C. Adobe XD
    Adobe XD is a vector-based user experience design and prototyping tool used to create and test interfaces for websites and mobile applications.
  • D. Dropbox Paper
    Dropbox Paper is a collaborative online document-editing and note-taking tool that lets teams create, share, and work together on content in real time.
  • E. Behance
    Behance is an online platform for showcasing and discovering creative work, widely used by designers, artists, and other visual professionals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d497f88190993d16a208ced43d completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce788098819087a046e10966b7e9 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.