Triple

T6214489
Position Surface form Disambiguated ID Type / Status
Subject Denys Lasdun E138950 entity
Predicate givenName P17 FINISHED
Object Denys
Denys is a masculine given name, notably borne by the British architect Denys Lasdun.
E74174 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: Denys | Statement: [Denys Lasdun, givenName, Denys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denys
Context triple: [Denys Lasdun, givenName, Denys]
  • A. Denis
    Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
  • B. Denis
    Denis was a key member of Les Nabis, a late 19th-century group of avant-garde French artists who helped pioneer Symbolism and modernist painting.
  • C. Denzil
    Denzil is a masculine given name of English origin, historically associated with several notable British politicians and public figures.
  • D. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • E. Grigor
    Grigor is a given name, commonly used in various Eastern European and Caucasian cultures, that corresponds to the English name Gregory.
  • 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: Denys
Triple: [Denys Lasdun, givenName, Denys]
Generated description
Denys is a masculine given name, notably borne by the British architect Denys Lasdun.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Denys
Target entity description: Denys is a masculine given name, notably borne by the British architect Denys Lasdun.
  • A. Denis chosen
    Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
  • B. Denis
    Denis was a key member of Les Nabis, a late 19th-century group of avant-garde French artists who helped pioneer Symbolism and modernist painting.
  • C. Denzil
    Denzil is a masculine given name of English origin, historically associated with several notable British politicians and public figures.
  • D. Durkan
    Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
  • E. Grigor
    Grigor is a given name, commonly used in various Eastern European and Caucasian cultures, that corresponds to the English name Gregory.
  • F. None of above.

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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0629fd3c08190a121097c188417c4 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f61ed708190a034136cc270e9d0 completed March 23, 2026, 4:50 p.m.
NEDg Description generation batch_69c1bfb484ac8190903efdf4a18f3a1c completed March 23, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69c1c03551008190af5e3427b4cdcd11 completed March 23, 2026, 10:35 p.m.
Created at: March 22, 2026, 4:21 p.m.