Triple

T2207345
Position Surface form Disambiguated ID Type / Status
Subject Opera News E50831 entity
Predicate developer P73 FINISHED
Object Opera Software E9276 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: Opera Software | Statement: [Opera News, developer, Opera Software]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera Software
Context triple: [Opera News, developer, Opera Software]
  • A. Opera Software chosen
    Opera Software is a Norwegian software company best known for developing the Opera web browser and related internet technologies.
  • B. Altamira Software
    Altamira Software was a pioneering computer graphics and digital imaging company co-founded by computer graphics visionary Alvy Ray Smith.
  • C. Vivaldi Technologies
    Vivaldi Technologies is a software company best known for developing the highly customizable Vivaldi web browser, founded by former Opera CEO Jon Stephenson von Tetzchner.
  • D. Brave Software
    Brave Software is a technology company best known for developing the privacy-focused Brave web browser that blocks ads and trackers by default and integrates cryptocurrency-based rewards.
  • E. Syntrillium Software
    Syntrillium Software was a software company best known for creating the audio editing program Cool Edit, which later evolved into Adobe Audition after Adobe acquired the firm.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfcbb83081908d5b2f1603c7b4d2 completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea85f62e081909f92b1a98b688104 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:46 p.m.