Triple

T2721453
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Ive E60088 entity
Predicate familyName P18 FINISHED
Object Ive
Ive is the surname of Sir Jonathan Ive, the influential British industrial designer best known for shaping the design of many iconic Apple products.
 E293607 NE FINISHED

How this triple was built (4 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: Ive | Statement: [Jonathan Ive, familyName, Ive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ive
Context triple: [Jonathan Ive, familyName, Ive]
  • A. Mottola
    Mottola is an Italian surname most prominently associated with American music executive Tommy Mottola.
  • B. Fitel
    Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
  • C. Gee
    Gee was a World War II-era British radio navigation system that enabled Royal Air Force bombers to determine their position and improve bombing accuracy, especially during night operations.
  • D. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • E. Jensen
    Jensen is a Scandinavian-origin surname and given name, most commonly associated with Danish and Norwegian patronymic naming traditions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ive
Triple: [Jonathan Ive, familyName, Ive]
Generated description
Ive is the surname of Sir Jonathan Ive, the influential British industrial designer best known for shaping the design of many iconic Apple products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ive
Target entity description: Ive is the surname of Sir Jonathan Ive, the influential British industrial designer best known for shaping the design of many iconic Apple products.
  • A. Mottola
    Mottola is an Italian surname most prominently associated with American music executive Tommy Mottola.
  • B. Fitel
    Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
  • C. Gee
    Gee was a World War II-era British radio navigation system that enabled Royal Air Force bombers to determine their position and improve bombing accuracy, especially during night operations.
  • D. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • E. Jensen
    Jensen is a Scandinavian-origin surname and given name, most commonly associated with Danish and Norwegian patronymic naming traditions.
  • F. None of above. chosen

Provenance (5 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab1cb808190b0789c76bc9cb090 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6914f70819099482893d026f34b completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb726182081909570e4cb7a364e4d completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb78f9d08819087d6f31fe1e4e61c completed March 10, 2026, 6:17 a.m.
Created at: March 6, 2026, 9:55 p.m.