Triple

T8861864
Position Surface form Disambiguated ID Type / Status
Subject Cuilén of Scotland E210907 entity
Predicate alsoKnownAs P39 FINISHED
Object Culen
Culen was a 10th-century King of Scots from the House of Alpin, known for his brief and turbulent reign marked by dynastic conflict.
 E762202 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: Culen | Statement: [Cuilén of Scotland, alsoKnownAs, Culen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Culen
Context triple: [Cuilén of Scotland, alsoKnownAs, Culen]
  • A. Collon
    Collon is a popular Japanese snack consisting of crispy rolled wafers filled with sweet cream, produced by the confectionery company Glico.
  • B. Hoschedé
    Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
  • C. 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.
  • D. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • E. Calas
    Calas is a French surname most notably associated with Jean Calas, whose controversial 18th-century trial and execution became a landmark case in the fight against religious intolerance.
  • 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: Culen
Triple: [Cuilén of Scotland, alsoKnownAs, Culen]
Generated description
Culen was a 10th-century King of Scots from the House of Alpin, known for his brief and turbulent reign marked by dynastic conflict.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Culen
Target entity description: Culen was a 10th-century King of Scots from the House of Alpin, known for his brief and turbulent reign marked by dynastic conflict.
  • A. Collon
    Collon is a popular Japanese snack consisting of crispy rolled wafers filled with sweet cream, produced by the confectionery company Glico.
  • B. Hoschedé
    Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
  • C. 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.
  • D. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • E. Calas
    Calas is a French surname most notably associated with Jean Calas, whose controversial 18th-century trial and execution became a landmark case in the fight against religious intolerance.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e860888190a8a8702377db949e completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0c248108190815d593f44029183 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1714b4081909035c9b15c82c1be completed April 3, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69cfa24be80481909e2b575f99cd1dc4 completed April 3, 2026, 11:19 a.m.
Created at: March 30, 2026, 6:50 p.m.