Triple

T26008063
Position Surface form Disambiguated ID Type / Status
Subject Virgil Hill E646813 entity
Predicate notableOpponent P893 FINISHED
Object Dariusz Michalczewski
Dariusz Michalczewski is a former Polish-German professional boxer and long-reigning light heavyweight world champion known for his aggressive style and multiple title defenses in the 1990s and early 2000s.
E1862917 NE FINISHED

How this triple was built (2 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: Dariusz Michalczewski | Statement: [Virgil Hill, notableOpponent, Dariusz Michalczewski]
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: Dariusz Michalczewski
Triple: [Virgil Hill, notableOpponent, Dariusz Michalczewski]
Generated description
Dariusz Michalczewski is a former Polish-German professional boxer and long-reigning light heavyweight world champion known for his aggressive style and multiple title defenses in the 1990s and early 2000s.

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_69e77e89d5848190b54352cdb74f6029 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f605b366f8819096534cffdd0aa509 completed May 2, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a829d6b08190af6c336fdd7f38c8 completed June 7, 2026, 5:19 p.m.
NEDg Description generation batch_6a25aca216088190b6e106c9172f638c completed June 7, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a25b13b60088190bfe08fd65547a593 completed June 7, 2026, 5:58 p.m.
Created at: April 22, 2026, 9:01 a.m.