Triple

T12194367
Position Surface form Disambiguated ID Type / Status
Subject Percy Wyndham Lewis E290547 entity
Predicate notableWork P4 FINISHED
Object Tarr
Tarr is a modernist novel by Percy Wyndham Lewis that satirically explores bohemian life and artistic pretension in pre-World War I Paris.
 E972190 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: Tarr | Statement: [Percy Wyndham Lewis, notableWork, Tarr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarr
Context triple: [Percy Wyndham Lewis, notableWork, Tarr]
  • A. Tarr
    Tarr is the surname of Hungarian film director Béla Tarr, renowned for his bleak, atmospheric, and visually distinctive art-house cinema.
  • B. Torell
    Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
  • C. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • D. Taron
    Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
  • E. Taron
    Taron was a historical Armenian province and cultural region in the upper Euphrates area, known as an early center of Armenian Christianity and noble dynasties.
  • 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: Tarr
Triple: [Percy Wyndham Lewis, notableWork, Tarr]
Generated description
Tarr is a modernist novel by Percy Wyndham Lewis that satirically explores bohemian life and artistic pretension in pre-World War I Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarr
Target entity description: Tarr is a modernist novel by Percy Wyndham Lewis that satirically explores bohemian life and artistic pretension in pre-World War I Paris.
  • A. Tarr
    Tarr is the surname of Hungarian film director Béla Tarr, renowned for his bleak, atmospheric, and visually distinctive art-house cinema.
  • B. Torell
    Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
  • C. Taralga
    Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
  • D. Taron
    Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
  • E. Taron
    Taron was a historical Armenian province and cultural region in the upper Euphrates area, known as an early center of Armenian Christianity and noble dynasties.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c55a5a881909c0eea2d83c00f49 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8f31508190972d282b5a8816df completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f618cab45481909d717c7f656924f2 completed May 2, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69f61974e97081908d904cacd86c03c1 completed May 2, 2026, 3:34 p.m.
Created at: April 8, 2026, 9:50 p.m.