Triple

T1372635
Position Surface form Disambiguated ID Type / Status
Subject Barbizon school E30146 entity
Predicate hasNotableMember P304 FINISHED
Object Constant Troyon
Constant Troyon was a 19th-century French painter renowned for his landscapes and animal scenes, associated with the Barbizon school.
E158414 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: Constant Troyon | Statement: [Barbizon school, hasNotableMember, Constant Troyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constant Troyon
Context triple: [Barbizon school, hasNotableMember, Constant Troyon]
  • A. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • B. Alphand
    Alphand is a French surname most notably borne by Jean-Charles Adolphe Alphand, a 19th-century engineer known for designing many of Paris’s parks and boulevards.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • E. Stephen Sauvestre
    Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
  • 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: Constant Troyon
Triple: [Barbizon school, hasNotableMember, Constant Troyon]
Generated description
Constant Troyon was a 19th-century French painter renowned for his landscapes and animal scenes, associated with the Barbizon school.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Constant Troyon
Target entity description: Constant Troyon was a 19th-century French painter renowned for his landscapes and animal scenes, associated with the Barbizon school.
  • A. Louiguy
    Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
  • B. Alphand
    Alphand is a French surname most notably borne by Jean-Charles Adolphe Alphand, a 19th-century engineer known for designing many of Paris’s parks and boulevards.
  • C. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • D. Michel
    Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
  • E. Stephen Sauvestre
    Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f4889881908103473a0173e23f completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd481de608190bed1dc385209320e completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd6a03b70819096bdf7ec3b447756 completed March 8, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69acd71971448190940136b8a44040be completed March 8, 2026, 1:55 a.m.
Created at: March 1, 2026, 7:57 p.m.