Triple

T3209257
Position Surface form Disambiguated ID Type / Status
Subject Leo Mechelin E67239 entity
Predicate familyName P18 FINISHED
Object Mechelin
Mechelin is a Finnish surname most notably associated with Leo Mechelin, a prominent 19th-century liberal politician and statesman.
 E338171 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: Mechelin | Statement: [Leo Mechelin, familyName, Mechelin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mechelin
Context triple: [Leo Mechelin, familyName, Mechelin]
  • A. Bielle
    Bielle is a small traditional village in southwestern France’s Ossau Valley, known for its pastoral Pyrenean setting and historic rural architecture.
  • B. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
  • C. Masson-Angers
    Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
  • D. Cérons
    Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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: Mechelin
Triple: [Leo Mechelin, familyName, Mechelin]
Generated description
Mechelin is a Finnish surname most notably associated with Leo Mechelin, a prominent 19th-century liberal politician and statesman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mechelin
Target entity description: Mechelin is a Finnish surname most notably associated with Leo Mechelin, a prominent 19th-century liberal politician and statesman.
  • A. Bielle
    Bielle is a small traditional village in southwestern France’s Ossau Valley, known for its pastoral Pyrenean setting and historic rural architecture.
  • B. Moulinois
    Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
  • C. Masson-Angers
    Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
  • D. Cérons
    Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
  • E. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaab701c48190b91404ab416f7ce3 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262278ea48190a2664bda9af1632a completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b265faf3008190b0fcb08687cbf1e2 completed March 12, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69b266bf6bf48190a4480bf9a699dae8 completed March 12, 2026, 7:09 a.m.
Created at: March 8, 2026, 3:07 p.m.