Triple

T21218174
Position Surface form Disambiguated ID Type / Status
Subject Al Aynsley-Green E522892 entity
Predicate givenName P17 FINISHED
Object Albert
Albert is the given first name of Al Aynsley-Green, a prominent British pediatrician and former Children’s Commissioner for England.
E1471293 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: Albert | Statement: [Al Aynsley-Green, givenName, Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert
Context triple: [Al Aynsley-Green, givenName, Albert]
  • A. Albert
    Albert is a rational, steady, and respectable foil to Werther’s passionate temperament in Goethe’s novel "The Sorrows of Young Werther."
  • B. Albert
    Albert is the given first name of American former Major League Baseball pitcher Lee Stange.
  • C. Albert
    Albert is the given first name of Al Jackson Jr., the influential American drummer best known for his work with Booker T. & the M.G.'s and Stax Records.
  • D. Albert
    Albert is the first name of American television personality and longtime weather anchor Al Roker.
  • E. Albert
    Albert is the given first name of film producer "Cubby" Broccoli, best known for co-producing the James Bond movie series.
  • 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: Albert
Triple: [Al Aynsley-Green, givenName, Albert]
Generated description
Albert is the given first name of Al Aynsley-Green, a prominent British pediatrician and former Children’s Commissioner for England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Albert
Target entity description: Albert is the given first name of Al Aynsley-Green, a prominent British pediatrician and former Children’s Commissioner for England.
  • A. Albert
    Albert is the given name of Albert Grey, 4th Earl Grey, a British nobleman and colonial administrator.
  • B. Albert
    Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
  • C. Albert
    Albert is the given name of British historian and politician H. A. L. Fisher, noted for his work on European history and service in government.
  • D. Albert
    Albert is the given name of the influential economist and social scientist Albert O. Hirschman.
  • E. Albert
    Albert is the given name of Albert F. Mummery, a pioneering English mountaineer known for his innovative and daring climbs in the Alps and Himalayas.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7347613308190a1c9f4ea51591d4b completed April 21, 2026, 8:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097edb6de4819094cf7a50670afdfa completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a097f5016348190aeb01856a5c57b41 completed May 17, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_6a097fe399048190a1b29f16d8e46d8d completed May 17, 2026, 8:44 a.m.
Created at: April 16, 2026, 3:42 p.m.