Triple

T3504146
Position Surface form Disambiguated ID Type / Status
Subject Somme E74035 entity
Predicate containsTown P847 FINISHED
Object Albert
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.
 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: [Somme, containsTown, Albert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Albert
Context triple: [Somme, containsTown, Albert]
  • A. 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.
  • B. Albert
    Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
  • C. Albert
    Albert is a middle-aged divorcé portrayed by James Gandolfini in the romantic comedy film "Enough Said," where he becomes the love interest of Julia Louis-Dreyfus's character.
  • D. Albert
    Albert is the given name of the renowned theoretical physicist Albert Einstein, whose work revolutionized modern physics.
  • 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. 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: [Somme, containsTown, Albert]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Albert
Target entity description: 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.
  • A. Albert
    Albert is a masculine given name of Germanic origin, commonly used in many European languages and English-speaking countries.
  • B. Albert
    Albert is the given name of the 19th-century German-American painter Albert Bierstadt, renowned for his grand landscapes of the American West.
  • 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 Albert A. Michelson, the pioneering physicist known for his precise measurements of the speed of light and the Michelson–Morley experiment.
  • E. Albert
    Albert is the given first name of American actor and singer Gordon MacRae, best known for his roles in classic film musicals like "Oklahoma!" and "Carousel."
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf22b1c8190956141d8fb924210 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373de0a34819096701e24409a08bb completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b377dfd2308190b2762715fa098260 completed March 13, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_69b37850f18081908ee893dd4cedc183 completed March 13, 2026, 2:37 a.m.
Created at: March 8, 2026, 3:18 p.m.