Triple

T10961036
Position Surface form Disambiguated ID Type / Status
Subject Bonhomme Carnaval E258973 entity
Predicate alsoKnownAs P39 FINISHED
Object Bonhomme
Bonhomme is the iconic snowman mascot and symbol of the Quebec Winter Carnival, known for his red cap, sash, and festive public appearances.
 E896309 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: Bonhomme | Statement: [Bonhomme Carnaval, alsoKnownAs, Bonhomme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bonhomme
Context triple: [Bonhomme Carnaval, alsoKnownAs, Bonhomme]
  • A. Guy le Gros
    Guy le Gros is another name for Pope Clement IV, the 13th-century head of the Catholic Church and ruler of the Papal States.
  • B. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • C. Luc Oursel
    Luc Oursel was a French business executive best known for leading the nuclear energy company Areva during the early 2010s.
  • D. Vachon
    Vachon is a French-origin surname borne by various notable individuals, including artists, athletes, and public figures.
  • E. Gaston
    Gaston is a masculine given name of French origin commonly used in Francophone countries and beyond.
  • 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: Bonhomme
Triple: [Bonhomme Carnaval, alsoKnownAs, Bonhomme]
Generated description
Bonhomme is the iconic snowman mascot and symbol of the Quebec Winter Carnival, known for his red cap, sash, and festive public appearances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bonhomme
Target entity description: Bonhomme is the iconic snowman mascot and symbol of the Quebec Winter Carnival, known for his red cap, sash, and festive public appearances.
  • A. Guy le Gros
    Guy le Gros is another name for Pope Clement IV, the 13th-century head of the Catholic Church and ruler of the Papal States.
  • B. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • C. Luc Oursel
    Luc Oursel was a French business executive best known for leading the nuclear energy company Areva during the early 2010s.
  • D. Vachon
    Vachon is a French-origin surname borne by various notable individuals, including artists, athletes, and public figures.
  • E. Gaston
    Gaston is a masculine given name of French origin commonly used in Francophone countries and beyond.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7712bf65c8190b847784d885876fd completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d761d3c48190af8e0aedf96ee99f completed April 18, 2026, 12:59 a.m.
NEDg Description generation batch_69e2fab58f588190ae2d33f32e71333b completed April 18, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e317809c0881909e793db965194014 completed April 18, 2026, 5:32 a.m.
Created at: April 8, 2026, 9:23 p.m.