Triple

T8247530
Position Surface form Disambiguated ID Type / Status
Subject SUSE E192884 entity
Predicate product P490 FINISHED
Object Harvester
Harvester is SUSE’s open-source hyperconverged infrastructure (HCI) platform designed to manage virtual machines and Kubernetes workloads on bare-metal servers.
E721389 NE FINISHED

How this triple was built (4 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: Harvester | Statement: [SUSE, product, Harvester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harvester
Context triple: [SUSE, product, Harvester]
  • A. Earthworm Tractors
    Earthworm Tractors is a 1936 American comedy film starring Joe E. Brown as an overzealous tractor salesman whose antics create chaos in a small town.
  • B. Bulldozer
    "Bulldozer" is a 1992 studio album by the American indie rock band Big Black, showcasing their abrasive, noise-driven sound and influential role in the underground rock scene.
  • C. الحافرة
    الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
  • D. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • E. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Harvester
Triple: [SUSE, product, Harvester]
Generated description
Harvester is SUSE’s open-source hyperconverged infrastructure (HCI) platform designed to manage virtual machines and Kubernetes workloads on bare-metal servers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harvester
Target entity description: Harvester is SUSE’s open-source hyperconverged infrastructure (HCI) platform designed to manage virtual machines and Kubernetes workloads on bare-metal servers.
  • A. Earthworm Tractors
    Earthworm Tractors is a 1936 American comedy film starring Joe E. Brown as an overzealous tractor salesman whose antics create chaos in a small town.
  • B. Bulldozer
    "Bulldozer" is a 1992 studio album by the American indie rock band Big Black, showcasing their abrasive, noise-driven sound and influential role in the underground rock scene.
  • C. الحافرة
    الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
  • D. Toro
    Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • E. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • F. None of above. chosen

Provenance (5 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7875318c819095f971ba513c54fd completed March 31, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3530ca148190a28761622d0cf663 completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a5d3bc8190801b1b0f09eee462 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.