Triple

T12467566
Position Surface form Disambiguated ID Type / Status
Subject Antonio Tarver E297965 entity
Predicate familyName P18 FINISHED
Object Tarver
Tarver is a surname most prominently associated with American former professional boxer and world champion Antonio Tarver.
 E983353 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: Tarver | Statement: [Antonio Tarver, familyName, Tarver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tarver
Context triple: [Antonio Tarver, familyName, Tarver]
  • A. Treveris
    Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
  • B. Devorski
    Devorski is a surname most notably associated with Paul Devorski, a former National Hockey League referee.
  • C. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • D. Darel
    Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
  • E. Gaven
    Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
  • 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: Tarver
Triple: [Antonio Tarver, familyName, Tarver]
Generated description
Tarver is a surname most prominently associated with American former professional boxer and world champion Antonio Tarver.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tarver
Target entity description: Tarver is a surname most prominently associated with American former professional boxer and world champion Antonio Tarver.
  • A. Treveris
    Treveris is the historical city now known as Trier, one of the oldest cities in Germany and a major center of the Roman Empire in the region.
  • B. Devorski
    Devorski is a surname most notably associated with Paul Devorski, a former National Hockey League referee.
  • C. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • D. Darel
    Darel is a given name, typically a variant spelling of Daryl, used for both males and females.
  • E. Gaven
    Gaven is a suburb on the Gold Coast in Queensland, Australia, known for its semi-rural character and proximity to major transport routes.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db979c481908778188794b2c08e completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2175c48190bbd28ad8c07434f0 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6401199408190ad2657802afd93c9 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f6416ba1bc8190a772bffe4d83ec15 completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:56 p.m.