Triple

T17598058
Position Surface form Disambiguated ID Type / Status
Subject Phil Schiller E428624 entity
Predicate employer P7 FINISHED
Object Apple Inc. NE NERFINISHED

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: [Phil Schiller, employer, Apple Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Inc.
Context triple: [Phil Schiller, 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 a widely cultivated fruit known for its crisp texture, sweet-tart flavor, and central role in cuisines and agricultural traditions around the world.
  • D. 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.
  • E. Apple
    Apple is a renowned record label and multimedia company founded by The Beatles, best known for releasing and managing their music and related projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ecfb108190a9e7a5b380f8ab93 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.