Triple

T8297762
Position Surface form Disambiguated ID Type / Status
Subject Northumbria University E194264 entity
Predicate hasNotableAlumni P51 FINISHED
Object Jonathan Ive E60088 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: Jonathan Ive | Statement: [Northumbria University, hasNotableAlumni, Jonathan Ive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Ive
Context triple: [Northumbria University, hasNotableAlumni, Jonathan Ive]
  • A. Jonathan Ive chosen
    Jonathan Ive is a British industrial designer best known for leading the design of many of Apple’s iconic products, including the iMac, iPhone, and iPad, while serving as the company’s Chief Design Officer.
  • B. Tony Fadell
    Tony Fadell is an American engineer, designer, and entrepreneur best known as a key creator of the iPod and iPhone and a pioneer in modern smart home technology.
  • C. Victor Kilian
    Victor Kilian was an American character actor known for his prolific work in film and television from the 1920s through the 1970s.
  • D. Jef Raskin
    Jef Raskin was a human–computer interface expert and computer scientist best known for initiating and leading the early development of Apple’s Macintosh project.
  • E. Bill Buxton
    Bill Buxton is a pioneering computer scientist and designer known for his influential work in human-computer interaction, input technologies, and user experience design.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7dfa040c8190ab801b3910e39142 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68b6ad30819090d34d8e79cee634 completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:53 p.m.