Triple

T3288137
Position Surface form Disambiguated ID Type / Status
Subject Djuna Barnes E69034 entity
Predicate notableWork P4 FINISHED
Object Ryder
Ryder is a modernist novel by Djuna Barnes, known for its experimental style and exploration of unconventional family and sexual relationships.
E345598 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: Ryder | Statement: [Djuna Barnes, notableWork, Ryder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryder
Context triple: [Djuna Barnes, notableWork, Ryder]
  • A. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • B. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • C. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • D. Couper
    Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
  • E. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • 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: Ryder
Triple: [Djuna Barnes, notableWork, Ryder]
Generated description
Ryder is a modernist novel by Djuna Barnes, known for its experimental style and exploration of unconventional family and sexual relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ryder
Target entity description: Ryder is a modernist novel by Djuna Barnes, known for its experimental style and exploration of unconventional family and sexual relationships.
  • A. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • B. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • C. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • D. Couper
    Couper is a surname and variant spelling of Cooper, used by various individuals and families, particularly in English-speaking regions.
  • E. Carris
    Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb058e00881908fdf0a23208860d4 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85f71508190b194b4d383d7ee32 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8d165488190bdb6c07257f7502a completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecfd3c20819089bc0b2141aee8eb completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.