Triple

T4831538
Position Surface form Disambiguated ID Type / Status
Subject Kalle Lasn E107956 entity
Predicate familyName P18 FINISHED
Object Lasn
Lasn is the surname of Kalle Lasn, an Estonian-Canadian activist, author, and co-founder of the anti-consumerist magazine Adbusters.
 E473140 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: Lasn | Statement: [Kalle Lasn, familyName, Lasn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lasn
Context triple: [Kalle Lasn, familyName, Lasn]
  • A. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • B. Lasi
    Lasi is a regional dialect of the Sindhi language spoken primarily in parts of Balochistan and Sindh in Pakistan.
  • C. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • D. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • E. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • 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: Lasn
Triple: [Kalle Lasn, familyName, Lasn]
Generated description
Lasn is the surname of Kalle Lasn, an Estonian-Canadian activist, author, and co-founder of the anti-consumerist magazine Adbusters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lasn
Target entity description: Lasn is the surname of Kalle Lasn, an Estonian-Canadian activist, author, and co-founder of the anti-consumerist magazine Adbusters.
  • A. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • B. Lasi
    Lasi is a regional dialect of the Sindhi language spoken primarily in parts of Balochistan and Sindh in Pakistan.
  • C. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • D. Lalsalu
    Lalsalu is a classic Bengali novel by Syed Waliullah that explores religious hypocrisy and rural life in East Bengal.
  • E. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc924e08190b03a7541c629aff9 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dd4224c8190be7568bb611f81a3 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be51438c5881909f7456cdc3a60d98 completed March 21, 2026, 8:05 a.m.
NED2 Entity disambiguation (via description) batch_69be51a03f4c8190b04f0d3fe6486c24 completed March 21, 2026, 8:06 a.m.
Created at: March 20, 2026, 1:24 p.m.