Triple

T1160754
Position Surface form Disambiguated ID Type / Status
Subject SpiderMonkey E24484 entity
Predicate usedIn P98 FINISHED
Object Adobe Acrobat E29771 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 Acrobat | Statement: [SpiderMonkey, usedIn, Adobe Acrobat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adobe Acrobat
Context triple: [SpiderMonkey, usedIn, Adobe Acrobat]
  • A. Adobe Acrobat chosen
    Adobe Acrobat is a widely used software application for creating, viewing, editing, and managing PDF (Portable Document Format) documents across multiple platforms.
  • B. Adobe InDesign
    Adobe InDesign is a professional desktop publishing and page layout application widely used for designing print and digital media such as magazines, books, brochures, and interactive PDFs.
  • C. Adobe Photoshop
    Adobe Photoshop is a widely used professional image-editing and graphic design software application known for its powerful photo manipulation and digital art tools.
  • D. PostScript
    PostScript is a page description and programming language widely used in desktop publishing and printing to precisely define the layout and appearance of text and graphics.
  • E. Portable Document Format
    Portable Document Format (PDF) is a widely used file format designed for reliably presenting and exchanging documents independent of software, hardware, or operating systems.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcaf3a9081908bad2eba74dffbc1 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ebcd9788190ae319afc7d63c2e7 completed March 7, 2026, 5:22 p.m.
Created at: March 1, 2026, 7:45 p.m.