Triple

T10699641
Position Surface form Disambiguated ID Type / Status
Subject Tullio E252236 entity
Predicate hasNotableBearer P458 FINISHED
Object Tullio Aebi
Tullio Aebi was a Swiss footballer known for playing as a forward in the mid-20th century.
E880927 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: Tullio Aebi | Statement: [Tullio, hasNotableBearer, Tullio Aebi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tullio Aebi
Context triple: [Tullio, hasNotableBearer, Tullio Aebi]
  • A. Ormond Aebi
    Ormond Aebi was an American beekeeper and innovator known for setting world records in honey production and pioneering modern beekeeping techniques.
  • B. Heinz Rutishauser
    Heinz Rutishauser was a Swiss mathematician and computer scientist recognized as a pioneer of numerical analysis and one of the key figures in the early development of high-level programming languages.
  • C. Edmund Schulthess
    Edmund Schulthess was a Swiss politician who served as President of the Swiss Confederation multiple times in the early 20th century.
  • D. Leonhard Widmer
    Leonhard Widmer was a 19th-century Swiss writer best known for authoring the lyrics of the Swiss national anthem, the "Swiss Psalm."
  • E. Rainer Stahel
    Rainer Stahel was a German Wehrmacht officer and city commandant during World War II, known for his roles in urban defensive operations on the Eastern Front.
  • 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: Tullio Aebi
Triple: [Tullio, hasNotableBearer, Tullio Aebi]
Generated description
Tullio Aebi was a Swiss footballer known for playing as a forward in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tullio Aebi
Target entity description: Tullio Aebi was a Swiss footballer known for playing as a forward in the mid-20th century.
  • A. Ormond Aebi
    Ormond Aebi was an American beekeeper and innovator known for setting world records in honey production and pioneering modern beekeeping techniques.
  • B. Heinz Rutishauser
    Heinz Rutishauser was a Swiss mathematician and computer scientist recognized as a pioneer of numerical analysis and one of the key figures in the early development of high-level programming languages.
  • C. Edmund Schulthess
    Edmund Schulthess was a Swiss politician who served as President of the Swiss Confederation multiple times in the early 20th century.
  • D. Leonhard Widmer
    Leonhard Widmer was a 19th-century Swiss writer best known for authoring the lyrics of the Swiss national anthem, the "Swiss Psalm."
  • E. Rainer Stahel
    Rainer Stahel was a German Wehrmacht officer and city commandant during World War II, known for his roles in urban defensive operations on the Eastern Front.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8abd7c81909c274aa1699a3695 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998ed78e481908537ae10d55e6f65 completed April 11, 2026, 12:42 a.m.
NEDg Description generation batch_69d99e8534688190b312b737e0b9cd53 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadcb861a08190bb9f64a91117f35d completed April 11, 2026, 11:43 p.m.
Created at: April 8, 2026, 9:12 p.m.