Triple

T9506677
Position Surface form Disambiguated ID Type / Status
Subject Dennis Viollet E229287 entity
Predicate familyName P18 FINISHED
Object Viollet
Viollet is a surname most notably associated with Dennis Viollet, an English footballer who starred for Manchester United in the 1950s.
 E804865 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: Viollet | Statement: [Dennis Viollet, familyName, Viollet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viollet
Context triple: [Dennis Viollet, familyName, Viollet]
  • A. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • B. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • C. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Guignard
    Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
  • 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: Viollet
Triple: [Dennis Viollet, familyName, Viollet]
Generated description
Viollet is a surname most notably associated with Dennis Viollet, an English footballer who starred for Manchester United in the 1950s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viollet
Target entity description: Viollet is a surname most notably associated with Dennis Viollet, an English footballer who starred for Manchester United in the 1950s.
  • A. Montesson
    Montesson is a suburban commune in the Yvelines department of north-central France, located to the northwest of Paris along the Seine River.
  • B. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • C. Lusser
    Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
  • D. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • E. Guignard
    Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9852b7e48190a8f69cbde10d2858 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c09b9f88190b279335b5289defb completed April 4, 2026, 5:36 p.m.
NEDg Description generation batch_69d14ce2abe48190b554d08ca34508b0 completed April 4, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69d14d6abc9481909401a8cc097c304d completed April 4, 2026, 5:42 p.m.
Created at: March 30, 2026, 7:57 p.m.