Triple

T11989116
Position Surface form Disambiguated ID Type / Status
Subject Feliks Kon E285358 entity
Predicate familyName P18 FINISHED
Object Kon
Kon is a Polish surname most notably borne by Feliks Kon, a Polish communist activist and politician.
 E500380 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: Kon | Statement: [Feliks Kon, familyName, Kon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kon
Context triple: [Feliks Kon, familyName, Kon]
  • A. Kon
    Kon is a deity from Andean mythology often associated with rain, wind, and the fertilizing forces that sustain life in the region.
  • B. Konz
    Konz is a town in western Germany near Trier, known for its location where the Saar River meets the Moselle.
  • C. Kom
    Kom is an ethnic group and kingdom in northwestern Cameroon known for its rich cultural traditions, language, and chieftaincy system.
  • D. Kar
    Kar is the young, streetwise pickpocket chosen as the reluctant successor to a mystical protector in the action film "Bulletproof Monk."
  • E. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • 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: Kon
Triple: [Feliks Kon, familyName, Kon]
Generated description
Kon is a Polish surname most notably borne by Feliks Kon, a Polish communist activist and politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kon
Target entity description: Kon is a Polish surname most notably borne by Feliks Kon, a Polish communist activist and politician.
  • A. Kon chosen
    Kon is a deity from Andean mythology often associated with rain, wind, and the fertilizing forces that sustain life in the region.
  • B. Konz
    Konz is a town in western Germany near Trier, known for its location where the Saar River meets the Moselle.
  • C. Kom
    Kom is an ethnic group and kingdom in northwestern Cameroon known for its rich cultural traditions, language, and chieftaincy system.
  • D. Kar
    Kar is the young, streetwise pickpocket chosen as the reluctant successor to a mystical protector in the action film "Bulletproof Monk."
  • E. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • F. None of above.

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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903ae28708190a826bad1624343eb completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f472492ebc8190b064e691bb70e356 completed May 1, 2026, 9:28 a.m.
NEDg Description generation batch_69f47b7c5af08190ab0bff1232530a0c completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47dd51e648190bddd41766221e22d completed May 1, 2026, 10:17 a.m.
Created at: April 8, 2026, 9:46 p.m.