Triple

T11155381
Position Surface form Disambiguated ID Type / Status
Subject In Sik Rhee E263891 entity
Predicate coFounded P104 FINISHED
Object Opsware E47370 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: Opsware | Statement: [In Sik Rhee, coFounded, Opsware]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opsware
Context triple: [In Sik Rhee, coFounded, Opsware]
  • A. Opsware chosen
    Opsware was a data center automation and IT infrastructure management software company, best known for being co-founded by Marc Andreessen and later acquired by Hewlett-Packard.
  • B. Avaya
    Avaya is an American multinational technology company specializing in business communications, unified communications, and contact center solutions for enterprises and organizations worldwide.
  • C. AdventNet Inc.
    AdventNet Inc. was the original name of Zoho Corporation, a software company best known for its suite of online productivity and business applications.
  • D. Agere Systems
    Agere Systems was a semiconductor company specializing in communications and networking integrated circuits, formed as a spin-off from Lucent Technologies.
  • E. Megaco
    Megaco is a signaling protocol used in telecommunications networks to control media gateways that connect different types of communication systems, such as VoIP and traditional telephone networks.
  • 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_69d6aa9ccddc8190868998c8b7beb060 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8741cd48190b7cc29c6b6bc54ff completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e46341f224819099dd618b377e5bc2 completed April 19, 2026, 5:08 a.m.
Created at: April 8, 2026, 9:28 p.m.