Triple

T4280013
Position Surface form Disambiguated ID Type / Status
Subject Amazon Kinesis Data Firehose E97124 entity
Predicate integratesWith P1075 FINISHED
Object New Relic E139357 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: New Relic | Statement: [Amazon Kinesis Data Firehose, integratesWith, New Relic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Relic
Context triple: [Amazon Kinesis Data Firehose, integratesWith, New Relic]
  • A. New Relic chosen
    New Relic is a software analytics and application performance monitoring company that provides tools for tracking and optimizing the performance of web and mobile applications.
  • B. AppDynamics
    AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
  • C. Sumo Logic
    Sumo Logic is a cloud-native machine data analytics and log management platform that helps organizations monitor, troubleshoot, and secure their applications and infrastructure in real time.
  • D. Loudcloud
    Loudcloud was a pioneering early-2000s cloud and managed hosting company co-founded by Marc Andreessen that later evolved into the software firm Opsware.
  • E. Appirio
    Appirio is a cloud services and consulting company known for helping enterprises implement and optimize platforms like Salesforce and Workday.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350367da48190b735deef9b5d2d2e completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7bb0168819082a49347fdfe0997 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.