Triple

T8042900
Position Surface form Disambiguated ID Type / Status
Subject Surrealist Group in Paris E187477 entity
Predicate hasMember P10 FINISHED
Object Toyen
Toyen was a Czech avant-garde painter and illustrator known for her distinctive contributions to surrealism and erotic art in 20th-century Europe.
 E706814 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: Toyen | Statement: [Surrealist Group in Paris, hasMember, Toyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toyen
Context triple: [Surrealist Group in Paris, hasMember, Toyen]
  • A. Tuyo
    "Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
  • B. Tose
    Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
  • C. Tokkō
    Tokkō was the colloquial name for Japan’s prewar and wartime Special Higher Police, a political police force tasked with suppressing dissent and ideological opposition.
  • D. Takara
    Takara is a Japanese toy company best known for creating and producing Transformers and other popular action figures.
  • E. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • 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: Toyen
Triple: [Surrealist Group in Paris, hasMember, Toyen]
Generated description
Toyen was a Czech avant-garde painter and illustrator known for her distinctive contributions to surrealism and erotic art in 20th-century Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toyen
Target entity description: Toyen was a Czech avant-garde painter and illustrator known for her distinctive contributions to surrealism and erotic art in 20th-century Europe.
  • A. Tuyo
    "Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
  • B. Tose
    Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
  • C. Tokkō
    Tokkō was the colloquial name for Japan’s prewar and wartime Special Higher Police, a political police force tasked with suppressing dissent and ideological opposition.
  • D. Takara
    Takara is a Japanese toy company best known for creating and producing Transformers and other popular action figures.
  • E. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f49dcfc81909ac7c93e19ad05c2 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc570cfad08190a8ed35ef2a47f497 completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58acba3c8190b7d09aa23b5f10f8 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cc9161c8190aae90f453f6d98c0 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:23 p.m.