Triple

T22522831
Position Surface form Disambiguated ID Type / Status
Subject Asine E556822 entity
Predicate excavatedBy P7650 FINISHED
Object Otto Frödin
Otto Frödin was a Swedish archaeologist known for his excavations and research on ancient Greek sites.
E1541050 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: Otto Frödin | Statement: [Asine, excavatedBy, Otto Frödin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otto Frödin
Context triple: [Asine, excavatedBy, Otto Frödin]
  • A. Mauritz Widforss
    Mauritz Widforss was a Swedish hunting and fishing equipment retailer whose acquisition helped form the foundation of the modern H&M fashion company.
  • B. Gustav von Vaerst
    Gustav von Vaerst was a German Wehrmacht general who commanded armored forces, including in the North African campaign during World War II.
  • C. Einar Lönnberg
    Einar Lönnberg was a Swedish zoologist and taxonomist known for his extensive work on mammals and marine animals in the late 19th and early 20th centuries.
  • D. Olof Wihlborg
    Olof Wihlborg was a designer or craftsman known for creating the modern Royal Crown of Norway.
  • E. Bertilo Wennergren
    Bertilo Wennergren is a prominent contemporary Esperanto linguist, grammarian, and author known especially for his influential reference works and contributions to modern Esperanto usage.
  • 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: Otto Frödin
Triple: [Asine, excavatedBy, Otto Frödin]
Generated description
Otto Frödin was a Swedish archaeologist known for his excavations and research on ancient Greek sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Otto Frödin
Target entity description: Otto Frödin was a Swedish archaeologist known for his excavations and research on ancient Greek sites.
  • A. Mauritz Widforss
    Mauritz Widforss was a Swedish hunting and fishing equipment retailer whose acquisition helped form the foundation of the modern H&M fashion company.
  • B. Gustav von Vaerst
    Gustav von Vaerst was a German Wehrmacht general who commanded armored forces, including in the North African campaign during World War II.
  • C. Einar Lönnberg
    Einar Lönnberg was a Swedish zoologist and taxonomist known for his extensive work on mammals and marine animals in the late 19th and early 20th centuries.
  • D. Olof Wihlborg
    Olof Wihlborg was a designer or craftsman known for creating the modern Royal Crown of Norway.
  • E. Bertilo Wennergren
    Bertilo Wennergren is a prominent contemporary Esperanto linguist, grammarian, and author known especially for his influential reference works and contributions to modern Esperanto usage.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e338dfc819082e1eeede3805fb9 completed April 29, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17f6622081909c195f490358715d completed May 18, 2026, 1:45 p.m.
NEDg Description generation batch_6a0b1a1f6af481909c403bc5a662bc1d completed May 18, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1a73d5248190b4c96165770824e0 completed May 18, 2026, 1:56 p.m.
Created at: April 16, 2026, 8:50 p.m.