Triple

T7095506
Position Surface form Disambiguated ID Type / Status
Subject Diana Taurasi E165313 entity
Predicate nickname P55 FINISHED
Object DT
DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
 E641880 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: DT | Statement: [Diana Taurasi, nickname, DT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DT
Context triple: [Diana Taurasi, nickname, DT]
  • A. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • B. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • C. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • D. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • E. 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.
  • 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: DT
Triple: [Diana Taurasi, nickname, DT]
Generated description
DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DT
Target entity description: DT is the widely used nickname for Diana Taurasi, a legendary American professional basketball player regarded as one of the greatest in WNBA history.
  • A. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • B. TD
    TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
  • C. TD
    TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
  • D. DET
    DET is the standard NHL abbreviation for the Detroit Red Wings professional ice hockey team.
  • E. 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.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5530f2081908ac969ddfa7e9b5a completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c9e4efc8190acb011a0bd1f120f completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d4f009c819089fc20c262f0efdc completed March 28, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_69c79df3f5648190981176b6c9791181 completed March 28, 2026, 9:23 a.m.
Created at: March 27, 2026, 2:41 p.m.