Triple

T20607192
Position Surface form Disambiguated ID Type / Status
Subject Bernie Kosar E506339 entity
Predicate familyName P18 FINISHED
Object Kosar
Kosar is the surname of Bernie Kosar, a former American football quarterback best known for his years with the Cleveland Browns in the NFL.
E1439933 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: Kosar | Statement: [Bernie Kosar, familyName, Kosar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kosar
Context triple: [Bernie Kosar, familyName, Kosar]
  • A. Kosere
    "Kosere" is a popular Nigerian song by singer CDQ, known for its energetic Afrobeat style and street-influenced lyrics.
  • B. Kosor
    Kosor is a Croatian surname most notably borne by Jadranka Kosor, a former Prime Minister of Croatia.
  • C. Kosow
    Kosow is the birth surname of American actress Sylvia Sidney, who was known for her work in early Hollywood cinema and later character roles.
  • D. Krasici
    Krasici is a small coastal village in Montenegro situated along the shores of the Bay of Kotor, known for its seaside tourism and scenic Adriatic views.
  • E. Kocian
    Kocian is a surname most notably associated with American artistic gymnast Madison Kocian, an Olympic and world champion.
  • 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: Kosar
Triple: [Bernie Kosar, familyName, Kosar]
Generated description
Kosar is the surname of Bernie Kosar, a former American football quarterback best known for his years with the Cleveland Browns in the NFL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kosar
Target entity description: Kosar is the surname of Bernie Kosar, a former American football quarterback best known for his years with the Cleveland Browns in the NFL.
  • A. Kosere
    "Kosere" is a popular Nigerian song by singer CDQ, known for its energetic Afrobeat style and street-influenced lyrics.
  • B. Kosor
    Kosor is a Croatian surname most notably borne by Jadranka Kosor, a former Prime Minister of Croatia.
  • C. Kosow
    Kosow is the birth surname of American actress Sylvia Sidney, who was known for her work in early Hollywood cinema and later character roles.
  • D. Krasici
    Krasici is a small coastal village in Montenegro situated along the shores of the Bay of Kotor, known for its seaside tourism and scenic Adriatic views.
  • E. Kocian
    Kocian is a surname most notably associated with American artistic gymnast Madison Kocian, an Olympic and world champion.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad394e8819080185187a8b3de93 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08b3f74af0819081bcb397b53957b9 completed May 16, 2026, 6:14 p.m.
NEDg Description generation batch_6a08b51e41c08190a4fb6f8879998046 completed May 16, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_6a08b61db7288190840ed6784a64673d completed May 16, 2026, 6:23 p.m.
Created at: April 16, 2026, 11:41 a.m.