Triple

T2990355
Position Surface form Disambiguated ID Type / Status
Subject Steve Jobs E80734 entity
Predicate coFounded P104 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: [Steve Jobs, coFounded, Apple Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apple Inc.
Context triple: [Steve Jobs, coFounded, 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 widely cultivated fruit known for its crisp texture, sweet-tart flavor, and central role in cuisines and agricultural traditions around the world.
  • C. Foxconn
    Foxconn is a major Taiwanese multinational electronics manufacturer best known for assembling products for companies like Apple, including iPhones and other consumer devices.
  • D. NeXT Inc.
    NeXT Inc. was a computer company founded by Steve Jobs that developed advanced workstations and the NeXTSTEP operating system, which later formed the technological foundation for macOS and iOS.
  • E. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99de55208190bc56ecbe08638e5a completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f3434088190b20889c4e68a9361 completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 2:59 p.m.