Triple

T6154166
Position Surface form Disambiguated ID Type / Status
Subject Coen E137277 entity
Predicate hasSpellingVariant P457 FINISHED
Object Coën
Coën is a surname or given name variant of "Coen," often of Dutch origin and sometimes written with a diaeresis to clarify pronunciation.
 E572692 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: Coën | Statement: [Coen, hasSpellingVariant, Coën]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coën
Context triple: [Coen, hasSpellingVariant, Coën]
  • A. Corine
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • B. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • C. Veeweyde
    Veeweyde is a neighborhood-level district within the Brussels municipality of Anderlecht, known primarily as a residential area served by the Veeweyde metro station.
  • D. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • E. 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.
  • 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: Coën
Triple: [Coen, hasSpellingVariant, Coën]
Generated description
Coën is a surname or given name variant of "Coen," often of Dutch origin and sometimes written with a diaeresis to clarify pronunciation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coën
Target entity description: Coën is a surname or given name variant of "Coen," often of Dutch origin and sometimes written with a diaeresis to clarify pronunciation.
  • A. Corine
    Corine is a feminine given name used in various European countries, often considered a variant of "Corinne."
  • B. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • C. Veeweyde
    Veeweyde is a neighborhood-level district within the Brussels municipality of Anderlecht, known primarily as a residential area served by the Veeweyde metro station.
  • D. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • E. 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.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cffc7bc819092633a9e5f1abe2f completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1418195d8819092743f323430b9a8 completed March 23, 2026, 1:34 p.m.
NEDg Description generation batch_69c144696f80819092131e86a3bb3b63 completed March 23, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c144c523c48190a709342dc031d2b8 completed March 23, 2026, 1:48 p.m.
Created at: March 22, 2026, 4:17 p.m.