Triple

T15104449
Position Surface form Disambiguated ID Type / Status
Subject Louis Tocqué E360751 entity
Predicate familyName P18 FINISHED
Object Tocqué
Tocqué is a French surname most notably borne by the 18th-century portrait painter Louis Tocqué.
 E1137189 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: Tocqué | Statement: [Louis Tocqué, familyName, Tocqué]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tocqué
Context triple: [Louis Tocqué, familyName, Tocqué]
  • A. Tournier
    Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
  • B. Tortelier
    Tortelier is a French surname most prominently associated with the renowned 20th-century cellist and conductor Paul Tortelier.
  • C. Cortébert
    Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
  • D. Jacquère
    Jacquère is a light, crisp white wine grape variety primarily grown in the Alpine regions of eastern France, known for producing fresh, mineral-driven wines.
  • E. Tous
    Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
  • 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: Tocqué
Triple: [Louis Tocqué, familyName, Tocqué]
Generated description
Tocqué is a French surname most notably borne by the 18th-century portrait painter Louis Tocqué.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tocqué
Target entity description: Tocqué is a French surname most notably borne by the 18th-century portrait painter Louis Tocqué.
  • A. Tournier
    Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
  • B. Tortelier
    Tortelier is a French surname most prominently associated with the renowned 20th-century cellist and conductor Paul Tortelier.
  • C. Cortébert
    Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
  • D. Jacquère
    Jacquère is a light, crisp white wine grape variety primarily grown in the Alpine regions of eastern France, known for producing fresh, mineral-driven wines.
  • E. Tous
    Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb06643508190a21939ff3e1389c6 completed May 9, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69feb0d114388190b2b16703003da446 completed May 9, 2026, 3:58 a.m.
Created at: April 10, 2026, 3:05 a.m.