Triple

T14217428
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Swift E352392 entity
Predicate familyName P18 FINISHED
Object Swift
Swift is a common English surname borne by numerous notable individuals across fields such as literature, entertainment, and sports.
 E174553 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: Swift | Statement: [Jeremy Swift, familyName, Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Swift
Context triple: [Jeremy Swift, familyName, Swift]
  • A. Swift
    Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
  • B. Swift
    Swift is a NASA space telescope mission dedicated to detecting and rapidly observing gamma-ray bursts and other high-energy astrophysical phenomena.
  • C. Swift
    Swift is a British single-seat fighter aircraft developed in the early Cold War era, known for its swept-wing design and service with the Royal Air Force.
  • D. Swift
    Swift is a line of thin-and-light consumer and productivity laptops produced by the Taiwanese computer manufacturer Acer.
  • E. Swift
    Swift is OpenStack’s distributed object storage system designed for scalable, fault-tolerant storage and retrieval of large amounts of unstructured data.
  • 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: Swift
Triple: [Jeremy Swift, familyName, Swift]
Generated description
Swift is a common English surname borne by numerous notable individuals across fields such as literature, entertainment, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Swift
Target entity description: Swift is a common English surname borne by numerous notable individuals across fields such as literature, entertainment, and sports.
  • A. Swift chosen
    Swift is a common English surname borne by numerous notable figures, including the Anglo-Irish satirist Jonathan Swift.
  • B. Swift
    Swift is a modern, compiled programming language developed by Apple for building fast, safe, and expressive applications across its platforms and beyond.
  • C. Swift
    Swift is a British single-seat fighter aircraft developed in the early Cold War era, known for its swept-wing design and service with the Royal Air Force.
  • D. Swift
    Swift is a line of thin-and-light consumer and productivity laptops produced by the Taiwanese computer manufacturer Acer.
  • E. Swift
    Swift is a NASA space telescope mission dedicated to detecting and rapidly observing gamma-ray bursts and other high-energy astrophysical phenomena.
  • F. None of above.

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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6210213481908fac6893e8a9f143 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28101e1881909f7a6c0cc762204c completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2b3ae0c0819089bdc277d66b20ae completed May 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69fd2f51a2cc81908b222a1830e2c8e4 completed May 8, 2026, 12:33 a.m.
Created at: April 10, 2026, 1:06 a.m.