Triple

T12682912
Position Surface form Disambiguated ID Type / Status
Subject Idera, Inc. E302990 entity
Predicate ownsBrand P1500 FINISHED
Object UltraEdit E997766 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: UltraEdit | Statement: [Idera, Inc., ownsBrand, UltraEdit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UltraEdit
Context triple: [Idera, Inc., ownsBrand, UltraEdit]
  • A. UltraEdit chosen
    UltraEdit is a commercial text and code editor known for handling very large files, advanced editing features, and support for numerous programming languages.
  • B. WinEdt
    WinEdt is a powerful, customizable text editor for Windows widely used as a front-end for creating and managing LaTeX documents.
  • C. Sublime Text
    Sublime Text is a fast, cross-platform, extensible text editor popular among developers for its powerful features and plugin ecosystem.
  • D. UltraCompare
    UltraCompare is a commercial file and folder comparison and synchronization tool known for its advanced diff, merge, and editing capabilities across multiple platforms.
  • E. Sam text editor
    Sam text editor is a powerful, programmable text editor from Bell Labs, designed by Rob Pike with a structural regular-expression-based command language and tight integration between its command and editing interfaces.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7722788190867cc8a27f678b4f completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:21 p.m.