Triple

T13860513
Position Surface form Disambiguated ID Type / Status
Subject Guy Kawasaki E333182 entity
Predicate employer P7 FINISHED
Object Apple Inc. 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 Inc. | Statement: [Guy Kawasaki, employer, Apple Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Inc.
Context triple: [Guy Kawasaki, employer, Apple Inc.]
  • A. 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.
  • B. Apple
    Apple is a common English given name, most famously borne by Apple Martin, the daughter of Gwyneth Paltrow and Chris Martin.
  • C. Apple
    "Apple" is the only studio album by the American rock band Mother Love Bone, recognized as a seminal release in the early Seattle grunge scene.
  • D. 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.
  • E. Apple Electronics
    Apple Electronics was a short-lived subsidiary of Apple Corps, the multimedia company founded by The Beatles, created to handle the group’s electronics and related ventures.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02de38e48190b6ead95561031c32 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fd3ffc8190965a730843411b80 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.