Triple

T21449987
Position Surface form Disambiguated ID Type / Status
Subject Albert Hammond E529182 entity
Predicate givenName P17 FINISHED
Object Albert
Albert is a masculine given name of Germanic origin, commonly used in many European languages and associated with numerous historical and cultural figures.
 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 Hammond, givenName, Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Albert
Context triple: [Albert Hammond, givenName, Albert]
  • A. Albert
    Albert was the given name of Albert I of Habsburg, a medieval King of Germany and member of the influential Habsburg dynasty.
  • B. 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.
  • C. Albert
    Albert is the first name of American television personality and longtime weather anchor Al Roker.
  • D. Albert
    Albert is the given name of Albert Grey, 4th Earl Grey, a British nobleman and colonial administrator.
  • E. Albert
    Albert is the given name of French filmmaker and writer Albert Lamorisse, best known for directing the classic short film "The Red Balloon."
  • 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 Hammond, givenName, Albert]
Generated description
Albert is a masculine given name of Germanic origin, commonly used in many European languages and associated with numerous historical and cultural figures.
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, commonly used in many European languages and associated with numerous historical and cultural figures.
  • 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 was the given name of Albert I of Habsburg, a medieval King of Germany and member of the influential Habsburg dynasty.
  • E. Albert
    Albert was the given name of Prince Albert of Prussia, a 19th-century Prussian royal and military figure from the House of Hohenzollern.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d281c0819080c3f8a58947a115 completed April 23, 2026, 9:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90a182c8190881279e88394ff97 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c9c2fbf081909f740049184552f0 completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09cbae96a8819095c7e916fb93d65e completed May 17, 2026, 2:07 p.m.
Created at: April 16, 2026, 6:06 p.m.