Triple

T17149899
Position Surface form Disambiguated ID Type / Status
Subject John Hawthorne E416192 entity
Predicate coAuthor P398 FINISHED
Object Herman Cappelen
Herman Cappelen is a contemporary analytic philosopher known for his influential work in philosophy of language, epistemology, and metaphilosophy.
E1252061 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: Herman Cappelen | Statement: [John Hawthorne, coAuthor, Herman Cappelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herman Cappelen
Context triple: [John Hawthorne, coAuthor, Herman Cappelen]
  • A. Thorkild Høven
    Thorkild Høven was a person significant enough—likely a local figure or landowner—to have the place Hovenia named in his honor.
  • B. Ove Gjedde
    Ove Gjedde was a 17th-century Danish nobleman and naval officer who led Denmark-Norway’s early colonial and trading ventures in India.
  • C. Herman Munthe-Kaas
    Herman Munthe-Kaas was a Norwegian architect known for his modernist church and public building designs in the mid-20th century.
  • D. Erling Bjørnson
    Erling Bjørnson was a Norwegian farmer and politician, best known as the son of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • E. Knut Haugland
    Knut Haugland was a Norwegian resistance fighter and radio operator best known for his role in the Kon-Tiki expedition and his World War II sabotage work.
  • 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: Herman Cappelen
Triple: [John Hawthorne, coAuthor, Herman Cappelen]
Generated description
Herman Cappelen is a contemporary analytic philosopher known for his influential work in philosophy of language, epistemology, and metaphilosophy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Herman Cappelen
Target entity description: Herman Cappelen is a contemporary analytic philosopher known for his influential work in philosophy of language, epistemology, and metaphilosophy.
  • A. Thorkild Høven
    Thorkild Høven was a person significant enough—likely a local figure or landowner—to have the place Hovenia named in his honor.
  • B. Ove Gjedde
    Ove Gjedde was a 17th-century Danish nobleman and naval officer who led Denmark-Norway’s early colonial and trading ventures in India.
  • C. Herman Munthe-Kaas
    Herman Munthe-Kaas was a Norwegian architect known for his modernist church and public building designs in the mid-20th century.
  • D. Erling Bjørnson
    Erling Bjørnson was a Norwegian farmer and politician, best known as the son of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • E. Knut Haugland
    Knut Haugland was a Norwegian resistance fighter and radio operator best known for his role in the Kon-Tiki expedition and his World War II sabotage work.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f4067470819084aa233c4c4a6d4f completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415b1d7c81908d000b0362042687 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a0141b73e008190be8aa85dec1ba517 completed May 11, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a01421d159c819096efc46fa08a48b9 completed May 11, 2026, 2:42 a.m.
Created at: April 10, 2026, 5:36 a.m.