Triple

T6081797
Position Surface form Disambiguated ID Type / Status
Subject Thomas Couture E135540 entity
Predicate familyName P18 FINISHED
Object Couture
Couture is a French surname most notably borne by 19th-century painter Thomas Couture, renowned for his historical and genre scenes.
 E565552 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: Couture | Statement: [Thomas Couture, familyName, Couture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Couture
Context triple: [Thomas Couture, familyName, Couture]
  • A. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • B. Marchesa
    Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
  • C. HauteLook
    HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
  • D. Mlle. Modiste
    Mlle. Modiste is a 1905 Broadway comic operetta with music by Victor Herbert that follows a young French milliner pursuing love and a stage career.
  • E. Poiret
    Poiret is a timid, retired government clerk and one of the impoverished boarders at Madame Vauquer’s lodging house in Honoré de Balzac’s novel "Le Père Goriot."
  • 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: Couture
Triple: [Thomas Couture, familyName, Couture]
Generated description
Couture is a French surname most notably borne by 19th-century painter Thomas Couture, renowned for his historical and genre scenes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Couture
Target entity description: Couture is a French surname most notably borne by 19th-century painter Thomas Couture, renowned for his historical and genre scenes.
  • A. Marchesa
    Marchesa is a luxury fashion label renowned for its ornate, red-carpet-ready eveningwear and bridal gowns.
  • B. Marchesa
    Marchesa is the Italian noble title traditionally used to designate a woman holding the rank of marquess.
  • C. HauteLook
    HauteLook is an online flash-sale retailer specializing in limited-time discounts on fashion, beauty, and home goods.
  • D. Mlle. Modiste
    Mlle. Modiste is a 1905 Broadway comic operetta with music by Victor Herbert that follows a young French milliner pursuing love and a stage career.
  • E. Poiret
    Poiret is a timid, retired government clerk and one of the impoverished boarders at Madame Vauquer’s lodging house in Honoré de Balzac’s novel "Le Père Goriot."
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05774bc948190a446b27e83f7079b completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d52850c8190baaf70460e74065f completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11dc2becc8190991c444357755dec completed March 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69c11edab81481909c419a3d2d8722ee completed March 23, 2026, 11:07 a.m.
Created at: March 22, 2026, 4:11 p.m.