Triple

T16136363
Position Surface form Disambiguated ID Type / Status
Subject Péronne E391538 entity
Predicate near P350 FINISHED
Object Albert
Albert is a small town in the Somme department of northern France, known for its role in World War I and proximity to major Western Front battlefields.
E363953 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: [Péronne, near, Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert
Context triple: [Péronne, near, Albert]
  • A. John
    John "Jack" Twyman was an American Hall of Fame professional basketball player best known for his scoring prowess with the Cincinnati Royals and his advocacy for teammate Maurice Stokes.
  • B. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • C. John
    John is the given name of British-American comedian and television host John Oliver, best known for his satirical news show "Last Week Tonight with John Oliver."
  • D. John
    John is the given name of the British civil engineer John Wolfe Barry, best known for designing London's Tower Bridge.
  • E. John
    John is the given name of John Wesley Longyear, an American politician and jurist from the 19th century.
  • 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: [Péronne, near, Albert]
Generated description
Albert is a small town in the Somme department of northern France, known for its role in World War I and proximity to major Western Front battlefields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Albert
Target entity description: Albert is a small town in the Somme department of northern France, known for its role in World War I and proximity to major Western Front battlefields.
  • A. Albert chosen
    Albert is a small town in northern France best known for its role on the Western Front during the First World War, particularly in the Battle of the Somme.
  • B. Albert
    Albert is a small rural locality within Lachlan Shire in New South Wales, Australia.
  • C. Albert
    Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
  • D. Albert
    Albert was the given name of Prince Albert of Prussia, a 19th-century Prussian royal and military figure from the House of Hohenzollern.
  • E. Albert
    Albert is the given name of the 19th-century German-American painter Albert Bierstadt, renowned for his grand landscapes of the American West.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a05148c8190bc2b98217fda23cc completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b39bbc8190a2cb77a3f0a329fd completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3806ab08190b2450b0f1f4bfc3c completed May 10, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fff3f2760c8190a58fedc2798614ae completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5:01 a.m.