Triple

T9671949
Position Surface form Disambiguated ID Type / Status
Subject Jose Canseco E234050 entity
Predicate familyName P18 FINISHED
Object Canseco
Canseco is a surname most famously associated with former Major League Baseball slugger José Canseco.
 E813783 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: Canseco | Statement: [Jose Canseco, familyName, Canseco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Canseco
Context triple: [Jose Canseco, familyName, Canseco]
  • A. Redondo
    Redondo is a municipality and town in Portugal’s Alentejo region, known for its wine production, traditional pottery, and well-preserved historic architecture.
  • B. Santee
    Santee is a suburban city in Southern California known for its residential communities, outdoor recreation areas, and location in the eastern part of the San Diego metropolitan region.
  • C. Salton
    Salton is a small village and civil parish in North Yorkshire, England, known for its historic church and rural setting within the Ryedale district.
  • D. Rio Linda
    Rio Linda is a suburban community in Sacramento County, California, known for its semi-rural character and proximity to the city of Sacramento.
  • E. Elato
    Elato is a small coral atoll and island community in Yap State of the Federated States of Micronesia, known for its traditional seafaring culture and remote Pacific setting.
  • 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: Canseco
Triple: [Jose Canseco, familyName, Canseco]
Generated description
Canseco is a surname most famously associated with former Major League Baseball slugger José Canseco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Canseco
Target entity description: Canseco is a surname most famously associated with former Major League Baseball slugger José Canseco.
  • A. Redondo
    Redondo is a municipality and town in Portugal’s Alentejo region, known for its wine production, traditional pottery, and well-preserved historic architecture.
  • B. Santee
    Santee is a suburban city in Southern California known for its residential communities, outdoor recreation areas, and location in the eastern part of the San Diego metropolitan region.
  • C. Salton
    Salton is a small village and civil parish in North Yorkshire, England, known for its historic church and rural setting within the Ryedale district.
  • D. Rio Linda
    Rio Linda is a suburban community in Sacramento County, California, known for its semi-rural character and proximity to the city of Sacramento.
  • E. Elato
    Elato is a small coral atoll and island community in Yap State of the Federated States of Micronesia, known for its traditional seafaring culture and remote Pacific setting.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6aa01c819083fc758470096ec2 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a28d1c481908737992466d35fdd completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18adf50308190bf1cc9d6dd1d7ea3 completed April 4, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69d18b6a2fb0819092ee274310721b50 completed April 4, 2026, 10:06 p.m.
Created at: March 30, 2026, 8:15 p.m.