Triple

T735878
Position Surface form Disambiguated ID Type / Status
Subject Johanna Spyri E14930 entity
Predicate familyName P18 FINISHED
Object Spyri
Spyri is the surname of Johanna Spyri, the Swiss author best known for creating the classic children's book character Heidi.
 E89337 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: Spyri | Statement: [Johanna Spyri, familyName, Spyri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spyri
Context triple: [Johanna Spyri, familyName, Spyri]
  • A. Dora Riparia
    Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
  • B. Dora
    Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • C. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • D. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • E. Bruno
    Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American 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: Spyri
Triple: [Johanna Spyri, familyName, Spyri]
Generated description
Spyri is the surname of Johanna Spyri, the Swiss author best known for creating the classic children's book character Heidi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spyri
Target entity description: Spyri is the surname of Johanna Spyri, the Swiss author best known for creating the classic children's book character Heidi.
  • A. Dora Riparia
    Dora Riparia is a river in northwestern Italy that flows through the city of Turin before joining the Po River.
  • B. Dora
    Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • C. Steffl
    Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
  • D. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • E. Bruno
    Bruno is a masculine given name of Germanic origin, commonly used in various European and Latin American 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5da30b88190afbd12ae6109cc1b completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e1d10c8190b69b30cc70add604 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a6557837bc8190a2868cb661f2f2e6 completed March 3, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_69a6560a55e881909a37e503b82b35f3 completed March 3, 2026, 3:31 a.m.
Created at: March 1, 2026, 7:37 p.m.