Triple

T1130279
Position Surface form Disambiguated ID Type / Status
Subject Dick Howser Trophy E23013 entity
Predicate hasAbbreviation P43 FINISHED
Object DHT
DHT is the abbreviation for the Dick Howser Trophy, an annual award recognizing the top college baseball player in the United States.
 E129966 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: DHT | Statement: [Dick Howser Trophy, hasAbbreviation, DHT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DHT
Context triple: [Dick Howser Trophy, hasAbbreviation, DHT]
  • A. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • B. HDH
    HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
  • C. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • D. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • E. DBDT
    DBDT is a renowned professional modern dance company based in Dallas, Texas, known for its diverse repertory and commitment to arts education and community outreach.
  • 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: DHT
Triple: [Dick Howser Trophy, hasAbbreviation, DHT]
Generated description
DHT is the abbreviation for the Dick Howser Trophy, an annual award recognizing the top college baseball player in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DHT
Target entity description: DHT is the abbreviation for the Dick Howser Trophy, an annual award recognizing the top college baseball player in the United States.
  • A. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • B. HDH
    HDH is the vehicle registration code used on license plates for the German town of Heidenheim an der Brenz.
  • C. DOT
    DOT is the commonly used acronym for the United States Department of Transportation, the federal agency responsible for national transportation policy and infrastructure.
  • D. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • E. DBDT
    DBDT is a renowned professional modern dance company based in Dallas, Texas, known for its diverse repertory and commitment to arts education and community outreach.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbf979108190adad7073c8275dd2 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a82bb8819084f77aff9af653c0 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a97f1408190855d8ea4f4317b07 completed March 7, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac5b1b5930819098f511db269e991d completed March 7, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:44 p.m.