Triple

T19599646
Position Surface form Disambiguated ID Type / Status
Subject Humber Limited E470432 entity
Predicate foundedBy P104 FINISHED
Object Thomas Humber
Thomas Humber was a pioneering British engineer and bicycle manufacturer whose innovations in cycle design led to the establishment of the influential Humber company.
E1390337 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: Thomas Humber | Statement: [Humber Limited, foundedBy, Thomas Humber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Humber
Context triple: [Humber Limited, foundedBy, Thomas Humber]
  • A. John Hampson
    John Hampson was the husband of renowned German actress Therese Giehse.
  • B. Louis Hobson
    Louis Hobson is an American musical theatre actor best known for his work on Broadway, including originating a role in the acclaimed rock musical "Next to Normal."
  • C. Jack Hulbert
    Jack Hulbert was a popular English comic actor, singer, and filmmaker best known for his work in British musical comedies of the 1930s.
  • D. William Hunnis
    William Hunnis was a 16th-century English poet, composer, and courtier known for his religious verse and music during the reign of Elizabeth I.
  • E. George Brink
    George Brink was a prominent South African military officer who played a key leadership role in the South African Army during the Second World War.
  • 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: Thomas Humber
Triple: [Humber Limited, foundedBy, Thomas Humber]
Generated description
Thomas Humber was a pioneering British engineer and bicycle manufacturer whose innovations in cycle design led to the establishment of the influential Humber company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas Humber
Target entity description: Thomas Humber was a pioneering British engineer and bicycle manufacturer whose innovations in cycle design led to the establishment of the influential Humber company.
  • A. John Hampson
    John Hampson was the husband of renowned German actress Therese Giehse.
  • B. Louis Hobson
    Louis Hobson is an American musical theatre actor best known for his work on Broadway, including originating a role in the acclaimed rock musical "Next to Normal."
  • C. Jack Hulbert
    Jack Hulbert was a popular English comic actor, singer, and filmmaker best known for his work in British musical comedies of the 1930s.
  • D. William Hunnis
    William Hunnis was a 16th-century English poet, composer, and courtier known for his religious verse and music during the reign of Elizabeth I.
  • E. George Brink
    George Brink was a prominent South African military officer who played a key leadership role in the South African Army during the Second World War.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407d46188190b9818665b2a698a5 completed April 20, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787ada52c8190ba26470e7b13bf5a completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a0799fdb9988190ae26ddc5a3a440a7 completed May 15, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_6a079abf6e9c81908f6e8c6c438e50b9 completed May 15, 2026, 10:14 p.m.
Created at: April 10, 2026, 1:43 p.m.