Triple

T9003961
Position Surface form Disambiguated ID Type / Status
Subject macOS SDK E215097 entity
Predicate containsFramework P58147 FINISHED
Object Core Data E284600 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: Core Data | Statement: [macOS SDK, containsFramework, Core Data]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Core Data
Context triple: [macOS SDK, containsFramework, Core Data]
  • A. Core Data chosen
    Core Data is Apple’s object graph and persistence framework used in macOS and iOS apps to manage and store model layer data.
  • B. Data
    Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
  • C. Datu
    Datu is a traditional title for a chieftain or local ruler in pre-colonial Philippine societies.
  • D. Kandata
    Kandata is the central sinner protagonist in Ryūnosuke Akutagawa’s short story “The Spider’s Thread,” known for his brief act of compassion that offers him a chance at salvation from hell.
  • E. CloudKit
    CloudKit is Apple’s cloud storage and data synchronization framework that enables developers to seamlessly store, manage, and sync app data across users’ iCloud accounts and 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6959497c8190a748c78504dd2eb6 completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e0a28c81909b6d2c6cd80e24d4 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.