Triple

T8470634
Position Surface form Disambiguated ID Type / Status
Subject Spotlight E200270 entity
Predicate relatedFeature P37 FINISHED
Object Launchpad
Launchpad is a macOS feature that presents installed applications in a grid-based, iOS-like interface for easy launching and organization.
E737711 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: Launchpad | Statement: [Spotlight, relatedFeature, Launchpad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Launchpad
Context triple: [Spotlight, relatedFeature, Launchpad]
  • A. LauncherOne
    LauncherOne is a small, air-launched orbital rocket developed by Virgin Orbit to deploy lightweight satellites into space from a carrier aircraft.
  • B. Snapcraft
    Snapcraft is Canonical's software packaging and distribution platform for building and publishing containerized "snap" applications across multiple Linux distributions.
  • C. Kickstart
    Kickstart is the ROM-based firmware of the Commodore Amiga computers that initializes the hardware and loads the AmigaOS.
  • D. Meta River
    The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
  • E. Launch Lane accelerator
    Launch Lane accelerator is a startup acceleration program run by the University City Science Center that supports early-stage companies with mentorship, resources, and growth support.
  • 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: Launchpad
Triple: [Spotlight, relatedFeature, Launchpad]
Generated description
Launchpad is a macOS feature that presents installed applications in a grid-based, iOS-like interface for easy launching and organization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Launchpad
Target entity description: Launchpad is a macOS feature that presents installed applications in a grid-based, iOS-like interface for easy launching and organization.
  • A. LauncherOne
    LauncherOne is a small, air-launched orbital rocket developed by Virgin Orbit to deploy lightweight satellites into space from a carrier aircraft.
  • B. Snapcraft
    Snapcraft is Canonical's software packaging and distribution platform for building and publishing containerized "snap" applications across multiple Linux distributions.
  • C. Kickstart
    Kickstart is the ROM-based firmware of the Commodore Amiga computers that initializes the hardware and loads the AmigaOS.
  • D. Meta River
    The Meta River is a major waterway in Colombia and Venezuela that drains the eastern Andes and Llanos plains before joining the Orinoco River.
  • E. Launch Lane accelerator
    Launch Lane accelerator is a startup acceleration program run by the University City Science Center that supports early-stage companies with mentorship, resources, and growth support.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f234c481909534de6fd702f4cf completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39f45c3081908ea50810f0a386d6 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3bd6c0c4819099f104c6dbfeef2c completed April 2, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce401c4e7081909a5b9fe0c0926114 completed April 2, 2026, 10:08 a.m.
Created at: March 30, 2026, 6:11 p.m.