Triple

T4382607
Position Surface form Disambiguated ID Type / Status
Subject Woods E99163 entity
Predicate hasVariant P455 FINISHED
Object Atwood
Atwood is a surname and place name most prominently associated with the acclaimed Canadian author Margaret Atwood.
E436446 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: Atwood | Statement: [Woods, hasVariant, Atwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atwood
Context triple: [Woods, hasVariant, Atwood]
  • A. Crake
    Crake is a brilliant but morally ambiguous geneticist and central figure in Margaret Atwood’s MaddAddam trilogy, whose radical bioengineering schemes help trigger a global catastrophe.
  • B. Colfer
    Colfer is the surname of Irish author Eoin Colfer, best known for creating the popular Artemis Fowl fantasy series.
  • C. Melvil
    Melvil is the given name of Melvil Dewey, the American librarian and educator best known for creating the Dewey Decimal Classification system.
  • D. Schiffrin
    Schiffrin is a surname most notably associated with André Schiffrin, an influential publisher and intellectual known for his work in progressive and independent publishing.
  • E. Giller
    Giller is the commonly used short name for the Scotiabank Giller Prize, a prestigious Canadian literary award recognizing excellence in English-language fiction.
  • 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: Atwood
Triple: [Woods, hasVariant, Atwood]
Generated description
Atwood is a surname and place name most prominently associated with the acclaimed Canadian author Margaret Atwood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Atwood
Target entity description: Atwood is a surname and place name most prominently associated with the acclaimed Canadian author Margaret Atwood.
  • A. Crake
    Crake is a brilliant but morally ambiguous geneticist and central figure in Margaret Atwood’s MaddAddam trilogy, whose radical bioengineering schemes help trigger a global catastrophe.
  • B. Colfer
    Colfer is the surname of Irish author Eoin Colfer, best known for creating the popular Artemis Fowl fantasy series.
  • C. Melvil
    Melvil is the given name of Melvil Dewey, the American librarian and educator best known for creating the Dewey Decimal Classification system.
  • D. Schiffrin
    Schiffrin is a surname most notably associated with André Schiffrin, an influential publisher and intellectual known for his work in progressive and independent publishing.
  • E. Giller
    Giller is the commonly used short name for the Scotiabank Giller Prize, a prestigious Canadian literary award recognizing excellence in English-language fiction.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35262649c8190a724c9835cb7ece6 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e523cc5c8190b9884f83d433982c completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5eeadd68881909820a75aaff9d8d5 completed March 14, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69b5ef36f2bc8190a21e0f2fadbdd697 completed March 14, 2026, 11:28 p.m.
Created at: March 12, 2026, 11:18 p.m.