Triple

T19801047
Position Surface form Disambiguated ID Type / Status
Subject Richard Dalton Howser E475674 entity
Predicate familyName P18 FINISHED
Object Howser
Howser is a surname most notably associated with Richard Dalton Howser, an American Major League Baseball player and manager.
 E1395093 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: Howser | Statement: [Richard Dalton Howser, familyName, Howser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Howser
Context triple: [Richard Dalton Howser, familyName, Howser]
  • A. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • B. Hussey
    Hussey is an English surname borne by various notable figures in fields such as religion, politics, and the arts.
  • C. Jaggard
    Jaggard is an English surname historically associated with early modern London printers and publishers, including those involved with Shakespearean works.
  • D. Hinckle Von Vampton
    Hinckle Von Vampton is a character from Ishmael Reed’s satirical novel "Mumbo Jumbo," depicted within its surreal, genre-blending exploration of African American culture, history, and myth.
  • E. Tearle
    Tearle is an English surname most notably associated with early 20th-century stage and silent film actor Conway Tearle.
  • 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: Howser
Triple: [Richard Dalton Howser, familyName, Howser]
Generated description
Howser is a surname most notably associated with Richard Dalton Howser, an American Major League Baseball player and manager.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Howser
Target entity description: Howser is a surname most notably associated with Richard Dalton Howser, an American Major League Baseball player and manager.
  • A. Blagg
    Blagg is a variant form of the surname "Black," typically arising as an alternative spelling in English-speaking regions.
  • B. Hussey
    Hussey is an English surname borne by various notable figures in fields such as religion, politics, and the arts.
  • C. Jaggard
    Jaggard is an English surname historically associated with early modern London printers and publishers, including those involved with Shakespearean works.
  • D. Hinckle Von Vampton
    Hinckle Von Vampton is a character from Ishmael Reed’s satirical novel "Mumbo Jumbo," depicted within its surreal, genre-blending exploration of African American culture, history, and myth.
  • E. Tearle
    Tearle is an English surname most notably associated with early 20th-century stage and silent film actor Conway Tearle.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653cc995c81908e4ca85b0639d541 completed April 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c5088834819086f4b8ac1e33401b completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c5f5a2808190bab75011262f86e6 completed May 16, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_6a07c6745828819085ea6103a723380a completed May 16, 2026, 1:20 a.m.
Created at: April 10, 2026, 1:49 p.m.