Triple

T18517339
Position Surface form Disambiguated ID Type / Status
Subject Carol Shields E452498 entity
Predicate notableWork P4 FINISHED
Object Swann
Swann is a novel by Canadian author Carol Shields that explores themes of identity, authorship, and the nature of literary legacy.
 E1329056 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: Swann | Statement: [Carol Shields, notableWork, Swann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Swann
Context triple: [Carol Shields, notableWork, Swann]
  • A. Swann
    Swann is a surname most prominently associated with Lynn Swann, a Hall of Fame American football wide receiver and former politician.
  • B. Maurice
    Maurice is a cautious, level-headed aye-aye who serves as King Julien’s loyal advisor and caretaker in the animated Penguins of Madagascar universe.
  • C. Maurice
    Maurice is the elderly, emotionally complex protagonist of the 2006 British film "Venus," portrayed by Peter O'Toole.
  • D. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • E. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • 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: Swann
Triple: [Carol Shields, notableWork, Swann]
Generated description
Swann is a novel by Canadian author Carol Shields that explores themes of identity, authorship, and the nature of literary legacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Swann
Target entity description: Swann is a novel by Canadian author Carol Shields that explores themes of identity, authorship, and the nature of literary legacy.
  • A. Swann
    Swann is a surname most prominently associated with Lynn Swann, a Hall of Fame American football wide receiver and former politician.
  • B. Maurice
    Maurice is a cautious, level-headed aye-aye who serves as King Julien’s loyal advisor and caretaker in the animated Penguins of Madagascar universe.
  • C. Maurice
    Maurice is the elderly, emotionally complex protagonist of the 2006 British film "Venus," portrayed by Peter O'Toole.
  • D. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • E. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338b2cd0819095db59f6bfc70814 completed April 19, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04916eeed88190bf8df75fc83ba145 completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a04924c2fd08190a824c470b732626f completed May 13, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0492e3a6dc8190902bb46bec64c07e completed May 13, 2026, 3:04 p.m.
Created at: April 10, 2026, 11:36 a.m.