Triple

T15591187
Position Surface form Disambiguated ID Type / Status
Subject Smurfette E374745 entity
Predicate publisher P29 FINISHED
Object Dupuis
Dupuis is a Belgian publishing company best known for producing Franco-Belgian comics, including the original Smurfs series.
E1165331 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: Dupuis | Statement: [Smurfette, publisher, Dupuis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dupuis
Context triple: [Smurfette, publisher, Dupuis]
  • A. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • B. Goulet
    Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
  • C. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • D. Dubouzet
    Dubouzet is the namesake of Cape Dubouzet, a geographic feature likely honoring a historical figure such as an explorer, naval officer, or cartographer.
  • E. DeBlois
    DeBlois is a French-origin surname borne by various notable individuals, including filmmakers and public figures.
  • 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: Dupuis
Triple: [Smurfette, publisher, Dupuis]
Generated description
Dupuis is a Belgian publishing company best known for producing Franco-Belgian comics, including the original Smurfs series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dupuis
Target entity description: Dupuis is a Belgian publishing company best known for producing Franco-Belgian comics, including the original Smurfs series.
  • A. Oudry
    Oudry is the surname of Jean-Baptiste Oudry, an 18th-century French painter and engraver renowned for his animal and hunting scenes.
  • B. Goulet
    Goulet is a French-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
  • C. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • D. Dubouzet
    Dubouzet is the namesake of Cape Dubouzet, a geographic feature likely honoring a historical figure such as an explorer, naval officer, or cartographer.
  • E. DeBlois
    DeBlois is a French-origin surname borne by various notable individuals, including filmmakers and public figures.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4b903c8190a35f9267cb38e721 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c55fa248190b114a5b63560f87b completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff50020d748190be36f3c08df43e40 completed May 9, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_69ff50a349688190ab7a18fa4460d86e completed May 9, 2026, 3:20 p.m.
Created at: April 10, 2026, 4:11 a.m.