Triple

T11699155
Position Surface form Disambiguated ID Type / Status
Subject The Caxtons E278074 entity
Predicate mainCharacter P1183 FINISHED
Object Uncle Roland
Uncle Roland is a central character in Edward Bulwer-Lytton’s novel "The Caxtons," known as the kindly, somewhat eccentric uncle whose experiences and personality significantly shape the family’s story.
 E939721 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: Uncle Roland | Statement: [The Caxtons, mainCharacter, Uncle Roland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uncle Roland
Context triple: [The Caxtons, mainCharacter, Uncle Roland]
  • A. Randal
    Randal is the given first name of American politician and physician Rand Paul.
  • B. Ed Roland
    Ed Roland is an American musician best known as the lead vocalist, primary songwriter, and founding member of the rock band Collective Soul.
  • C. Rowland
    Rowland is a surname of English origin borne by various notable individuals across fields such as sports, science, and the arts.
  • D. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • E. Rowland
    Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
  • 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: Uncle Roland
Triple: [The Caxtons, mainCharacter, Uncle Roland]
Generated description
Uncle Roland is a central character in Edward Bulwer-Lytton’s novel "The Caxtons," known as the kindly, somewhat eccentric uncle whose experiences and personality significantly shape the family’s story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uncle Roland
Target entity description: Uncle Roland is a central character in Edward Bulwer-Lytton’s novel "The Caxtons," known as the kindly, somewhat eccentric uncle whose experiences and personality significantly shape the family’s story.
  • A. Randal
    Randal is the given first name of American politician and physician Rand Paul.
  • B. Ed Roland
    Ed Roland is an American musician best known as the lead vocalist, primary songwriter, and founding member of the rock band Collective Soul.
  • C. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • D. Rowland
    Rowland is a surname of English origin borne by various notable individuals across fields such as sports, science, and the arts.
  • E. Rowland
    Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47df68c81908a91919a69b4880d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef147e2e10819085eaed83fd955b6b completed April 27, 2026, 7:47 a.m.
NEDg Description generation batch_69ef3553a1748190b554463bcea8bd1d completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51fe3824819099f440426d3e6888 completed April 27, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:40 p.m.