Triple

T2238595
Position Surface form Disambiguated ID Type / Status
Subject Samy Bengio E49340 entity
Predicate employer P7 FINISHED
Object Apple E3002 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: Apple | Statement: [Samy Bengio, employer, Apple]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple
Context triple: [Samy Bengio, employer, Apple]
  • A. Apple
    Apple is a widely cultivated fruit known for its crisp texture, sweet-tart flavor, and central role in cuisines and agricultural traditions around the world.
  • B. Apple Inc. chosen
    Apple Inc. is a multinational technology company best known for designing and selling consumer electronics like the iPhone, Mac, and iPad, along with software and digital services.
  • C. Apple One
    Apple One is Apple’s subscription bundle that combines multiple services like iCloud storage, music, video, fitness, and news into a single monthly plan.
  • D. Apple hardware
    Apple hardware refers to the physical computing devices and electronic products designed and manufactured by Apple Inc., including computers, smartphones, tablets, wearables, and accessories.
  • E. Apple Store
    Apple Store is Apple Inc.’s official retail and online chain that sells its hardware devices, software, and services while providing product support and technical assistance.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc096c7748190a545cc9b229bde62 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf266ed881909206c87c69a2ea95 completed March 10, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:47 p.m.