Triple

T14137844
Position Surface form Disambiguated ID Type / Status
Subject Mike Boich E350344 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: [Mike Boich, employer, Apple Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Inc.
Context triple: [Mike Boich, 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610fb86c81909eb26bf9c13696ca completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e655908190bf81dcbad1b10292 completed May 7, 2026, 8:36 p.m.
Created at: April 10, 2026, 12:38 a.m.