Triple

T1261320
Position Surface form Disambiguated ID Type / Status
Subject Håkon Wium Lie E12506 entity
Predicate employer P7 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: [Håkon Wium Lie, employer, Opera Software]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera Software
Context triple: [Håkon Wium Lie, employer, 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. 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.
  • C. Netscape Communications Corporation
    Netscape Communications Corporation was a pioneering web browser company of the 1990s whose Netscape Navigator played a central role in the early popularization of the World Wide Web.
  • D. Micros Systems
    Micros Systems was a leading provider of point-of-sale and hospitality management software and hardware solutions for restaurants, hotels, and retail businesses.
  • E. Microsoft
    Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
  • 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_69a4933352e08190ac617291985e76c0 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bfc64e648190b9c4f980eb8168aa completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93d044bc819091fd0cfa7a957640 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:50 p.m.