Triple

T21827879
Position Surface form Disambiguated ID Type / Status
Subject Albert Shiryaev E538902 entity
Predicate givenName P17 FINISHED
Object Albert
Albert is a masculine given name of Germanic origin, widely used in many languages and borne by numerous notable figures in science, politics, and the arts.
E270293 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: [Albert Shiryaev, givenName, Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert
Context triple: [Albert Shiryaev, 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: [Albert Shiryaev, givenName, Albert]
Generated description
Albert is a masculine given name of Germanic origin, widely used in many languages and borne by numerous notable figures in science, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Albert
Target entity description: Albert is a masculine given name of Germanic origin, widely used in many languages and borne by numerous notable figures in science, politics, and the arts.
  • A. Albert chosen
    Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
  • B. Albert
    Albert is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. Albert
    Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
  • 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 A. Michelson, the pioneering physicist known for his precise measurements of the speed of light and the Michelson–Morley experiment.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f09133718081909faa67c3721aed52 completed April 28, 2026, 10:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45e717e4819096ee1b2a1341a0d9 completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a46c771348190aa1fa8b3b8fcac3f completed May 17, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0a47bf44c881908504b2537649adf6 completed May 17, 2026, 10:57 p.m.
Created at: April 16, 2026, 6:54 p.m.