Triple

T9502601
Position Surface form Disambiguated ID Type / Status
Subject macOS Monterey E229180 entity
Predicate includedFeature P1393 FINISHED
Object Quick Note
Quick Note is a macOS and iPadOS feature that lets users instantly create and access notes from anywhere in the system for fast, context-aware note-taking.
 E803604 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: Quick Note | Statement: [macOS Monterey, includedFeature, Quick Note]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quick Note
Context triple: [macOS Monterey, includedFeature, Quick Note]
  • A. Quickie
    "Quickie" is a song featured on the album "All I Want Is You" by American singer Miguel.
  • B. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • C. Quick Fast
    "Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
  • D. Quick Pitch
    Quick Pitch is a Major League Baseball Network highlight show that provides rapid-fire recaps and key moments from each day's MLB games.
  • E. A Few Quick Ones
    A Few Quick Ones is a collection of humorous short stories by P. G. Wodehouse, many of which feature his recurring characters and comic settings.
  • 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: Quick Note
Triple: [macOS Monterey, includedFeature, Quick Note]
Generated description
Quick Note is a macOS and iPadOS feature that lets users instantly create and access notes from anywhere in the system for fast, context-aware note-taking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quick Note
Target entity description: Quick Note is a macOS and iPadOS feature that lets users instantly create and access notes from anywhere in the system for fast, context-aware note-taking.
  • A. Quickie
    "Quickie" is a song featured on the album "All I Want Is You" by American singer Miguel.
  • B. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • C. Quick Fast
    "Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
  • D. Quick Pitch
    Quick Pitch is a Major League Baseball Network highlight show that provides rapid-fire recaps and key moments from each day's MLB games.
  • E. A Few Quick Ones
    A Few Quick Ones is a collection of humorous short stories by P. G. Wodehouse, many of which feature his recurring characters and comic settings.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983ea6048190a2d7924c8e6d1fbc completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a10f7b08190b8e4d4bc3b9815c6 completed April 4, 2026, 4:19 p.m.
NEDg Description generation batch_69d13af4a2d481908dbec71fa8c25c69 completed April 4, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69d13bb706a88190bc2eec00c3e52e94 completed April 4, 2026, 4:26 p.m.
Created at: March 30, 2026, 7:57 p.m.