Triple

T321700
Position Surface form Disambiguated ID Type / Status
Subject macOS E6427 entity
Predicate supportsSecurityFeature P203 FINISHED
Object Gatekeeper
Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
 E41427 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: Gatekeeper | Statement: [macOS, supportsSecurityFeature, Gatekeeper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gatekeeper
Context triple: [macOS, supportsSecurityFeature, Gatekeeper]
  • A. The Pit
    The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
  • B. Cocoon
    Cocoon is a 1985 science fiction comedy-drama film about a group of elderly people who regain youth and vitality after encountering alien life, directed by Ron Howard.
  • C. The Wall
    The Wall is the towering left-field wall at Fenway Park in Boston, famously known for challenging hitters and shaping the ballpark’s unique character.
  • D. The Boss
    The Boss is the famous nickname of American rock musician Bruce Springsteen, renowned for his powerful live performances and working-class anthems.
  • E. Touchstone
    Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
  • 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: Gatekeeper
Triple: [macOS, supportsSecurityFeature, Gatekeeper]
Generated description
Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gatekeeper
Target entity description: Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
  • A. The Pit
    The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
  • B. Cocoon
    Cocoon is a 1985 science fiction comedy-drama film about a group of elderly people who regain youth and vitality after encountering alien life, directed by Ron Howard.
  • C. The Wall
    The Wall is the towering left-field wall at Fenway Park in Boston, famously known for challenging hitters and shaping the ballpark’s unique character.
  • D. The Boss
    The Boss is the famous nickname of American rock musician Bruce Springsteen, renowned for his powerful live performances and working-class anthems.
  • E. Touchstone
    Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea81a1e88190b3496070eb3d85f5 completed Feb. 28, 2026, 1:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cb006f348190b2e8901eb2ced9f3 completed March 1, 2026, 5:13 a.m.
NEDg Description generation batch_69a3cb608d5481908e43e0c0d021f925 completed March 1, 2026, 5:15 a.m.
NED2 Entity disambiguation (via description) batch_69a3cc0fb7b48190bf002516d07b6bc5 completed March 1, 2026, 5:18 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.