Triple

T15159382
Position Surface form Disambiguated ID Type / Status
Subject Lisa Bluder E362165 entity
Predicate familyName P18 FINISHED
Object Bluder
Bluder is a surname most notably associated with Lisa Bluder, the longtime head coach of the University of Iowa women's basketball team.
 E1140749 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: Bluder | Statement: [Lisa Bluder, familyName, Bluder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bluder
Context triple: [Lisa Bluder, familyName, Bluder]
  • A. Blacker
    Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
  • B. The Juice
    The Juice is the nickname of O. J. Simpson, the former American football star and actor who later became infamous for his highly publicized murder trial.
  • C. Bardez
    Bardez is a coastal taluka in North Goa, India, known for its popular beaches, tourism, and blend of Portuguese and Goan cultural heritage.
  • D. Blu
    Blu is an American underground hip-hop rapper known for his introspective lyrics and acclaimed collaborations, particularly with producer Exile.
  • E. Blu
    Blu is a domesticated Spix's macaw who serves as the timid yet brave protagonist of the animated Rio film series.
  • 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: Bluder
Triple: [Lisa Bluder, familyName, Bluder]
Generated description
Bluder is a surname most notably associated with Lisa Bluder, the longtime head coach of the University of Iowa women's basketball team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bluder
Target entity description: Bluder is a surname most notably associated with Lisa Bluder, the longtime head coach of the University of Iowa women's basketball team.
  • A. Blacker
    Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
  • B. The Juice
    The Juice is the nickname of O. J. Simpson, the former American football star and actor who later became infamous for his highly publicized murder trial.
  • C. Bardez
    Bardez is a coastal taluka in North Goa, India, known for its popular beaches, tourism, and blend of Portuguese and Goan cultural heritage.
  • D. Blu
    Blu is an American underground hip-hop rapper known for his introspective lyrics and acclaimed collaborations, particularly with producer Exile.
  • E. Blu
    Blu is a domesticated Spix's macaw who serves as the timid yet brave protagonist of the animated Rio film series.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060dd71881908ecc4a4f52d438a5 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69febffaa4b88190aab36fdae057e6d2 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec23c83ac819087633c0f64e50506 completed May 9, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69fec2f95a408190850e4d81839822ba completed May 9, 2026, 5:15 a.m.
Created at: April 10, 2026, 3:08 a.m.