Triple

T9877692
Position Surface form Disambiguated ID Type / Status
Subject Eugène-Étienne Taché E240113 entity
Predicate familyName P18 FINISHED
Object Taché
Taché is a French-origin surname notably associated with Canadian political and architectural figure Eugène-Étienne Taché and other prominent members of Quebec society.
 E826566 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: Taché | Statement: [Eugène-Étienne Taché, familyName, Taché]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taché
Context triple: [Eugène-Étienne Taché, familyName, Taché]
  • A. Duplessis
    Duplessis is a surname of French origin borne by various notable individuals in politics, sports, and the arts.
  • B. Paquin
    Paquin is a surname most prominently associated with Academy Award–winning actress Anna Paquin.
  • C. Le Tellier
    Le Tellier is a notable French family name historically associated with influential statesmen and ministers under the Bourbon monarchy.
  • D. Guillaumin
    Guillaumin is the surname of Armand Guillaumin, a French Impressionist painter known for his vibrant landscapes and use of color.
  • E. Chernin
    Chernin is a surname most prominently associated with American media executive and producer Peter Chernin.
  • 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: Taché
Triple: [Eugène-Étienne Taché, familyName, Taché]
Generated description
Taché is a French-origin surname notably associated with Canadian political and architectural figure Eugène-Étienne Taché and other prominent members of Quebec society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taché
Target entity description: Taché is a French-origin surname notably associated with Canadian political and architectural figure Eugène-Étienne Taché and other prominent members of Quebec society.
  • A. Duplessis
    Duplessis is a surname of French origin borne by various notable individuals in politics, sports, and the arts.
  • B. Paquin
    Paquin is a surname most prominently associated with Academy Award–winning actress Anna Paquin.
  • C. Le Tellier
    Le Tellier is a notable French family name historically associated with influential statesmen and ministers under the Bourbon monarchy.
  • D. Guillaumin
    Guillaumin is the surname of Armand Guillaumin, a French Impressionist painter known for his vibrant landscapes and use of color.
  • E. Chernin
    Chernin is a surname most prominently associated with American media executive and producer Peter Chernin.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb411fc78819082c52ae4233a6550 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e480ead08190992eb43ea3eac38b completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e5d0da7081908e14fe4bc6623ea5 completed April 5, 2026, 4:32 a.m.
NED2 Entity disambiguation (via description) batch_69d1e6af89f88190abe63f8172182f58 completed April 5, 2026, 4:35 a.m.
Created at: March 30, 2026, 8:37 p.m.