Triple

T2207321
Position Surface form Disambiguated ID Type / Status
Subject Geir Ivarsøy E50830 entity
Predicate notableWork P4 FINISHED
Object Opera web browser E50828 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 web browser | Statement: [Geir Ivarsøy, notableWork, Opera web browser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera web browser
Context triple: [Geir Ivarsøy, notableWork, Opera web browser]
  • A. Opera web browser chosen
    Opera web browser is a cross-platform web browser known for its speed, built-in privacy and productivity features, and innovative tools like a free VPN and ad blocker.
  • B. Brave web browser
    Brave web browser is a privacy-focused, open-source web browser known for its built-in ad and tracker blocking and optional cryptocurrency-based rewards system for users and publishers.
  • C. Arena web browser
    Arena web browser was an early experimental web browser in the 1990s that served as a testbed for emerging World Wide Web standards such as HTML and CSS.
  • D. Colibri Browser
    Colibri Browser is a minimalist web browser focused on speed and simplicity, built on the Blink rendering engine.
  • E. Torch Browser
    Torch Browser is a Chromium-based web browser known for its built-in media downloading, torrent management, and social media integration features.
  • 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_69ae654b89b081908f8c8b9bfc0b6579 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.