Triple

T1935488
Position Surface form Disambiguated ID Type / Status
Subject Spotlight search E41433 entity
Predicate relatedTo P37 FINISHED
Object Siri E41436 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: Siri | Statement: [Spotlight search, relatedTo, Siri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siri
Context triple: [Spotlight search, relatedTo, Siri]
  • A. Siri chosen
    Siri is Apple's intelligent voice-controlled virtual assistant that performs tasks, answers questions, and controls devices across the Apple ecosystem.
  • B. Alexa
    Alexa is Amazon’s cloud-based virtual assistant that uses voice interaction to control smart devices, answer questions, and perform a variety of digital tasks.
  • C. Bixby
    Bixby is Samsung's proprietary virtual assistant designed to enable voice control, smart device integration, and contextual assistance across the company's ecosystem of products.
  • D. HomePod
    HomePod is Apple’s smart speaker that integrates Siri voice control with high-quality audio playback and seamless connectivity to the Apple ecosystem.
  • E. Google Assistant
    Google Assistant is Google's AI-powered virtual assistant that provides voice-activated help, information, and smart device control across phones, speakers, watches, and other connected devices.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29c7be08190986df157bf5d7c9e completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f3932081909a72d1022259359e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.