Triple

T2815047
Position Surface form Disambiguated ID Type / Status
Subject Louisiana Tech Lady Techsters basketball team E54261 entity
Predicate nickname P55 FINISHED
Object Lady Techsters
Lady Techsters is the women's basketball team representing Louisiana Tech University, known for its historically strong program and multiple national championships.
E300749 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: Lady Techsters | Statement: [Louisiana Tech Lady Techsters basketball team, nickname, Lady Techsters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady Techsters
Context triple: [Louisiana Tech Lady Techsters basketball team, nickname, Lady Techsters]
  • A. Red and Blue Crew
    Red and Blue Crew is the official student cheering section that supports the University of Pennsylvania’s athletic teams, especially at Penn Quakers football games.
  • B. Lady Tigers
    The Lady Tigers are the women's athletic teams representing Tennessee State University in collegiate sports competitions.
  • C. Lady Tigers
    The Lady Tigers are the women’s basketball team representing Louisiana State University in NCAA Division I competition.
  • D. Club Aurora
    Club Aurora is a Bolivian professional football club based in the city of Cochabamba.
  • E. Team Gray
    Team Gray was a robotics team that gained recognition for competing in DARPA’s pioneering autonomous vehicle Grand Challenge.
  • 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: Lady Techsters
Triple: [Louisiana Tech Lady Techsters basketball team, nickname, Lady Techsters]
Generated description
Lady Techsters is the women's basketball team representing Louisiana Tech University, known for its historically strong program and multiple national championships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lady Techsters
Target entity description: Lady Techsters is the women's basketball team representing Louisiana Tech University, known for its historically strong program and multiple national championships.
  • A. Red and Blue Crew
    Red and Blue Crew is the official student cheering section that supports the University of Pennsylvania’s athletic teams, especially at Penn Quakers football games.
  • B. Lady Tigers
    The Lady Tigers are the women's athletic teams representing Tennessee State University in collegiate sports competitions.
  • C. Lady Tigers
    The Lady Tigers are the women’s basketball team representing Louisiana State University in NCAA Division I competition.
  • D. Club Aurora
    Club Aurora is a Bolivian professional football club based in the city of Cochabamba.
  • E. Team Gray
    Team Gray was a robotics team that gained recognition for competing in DARPA’s pioneering autonomous vehicle Grand Challenge.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4d29488190a32461906dd9ea7e completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9f964081909e422aaf1f026dbb completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf12e3a0819098f28d31434a0c5f completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcf9c2d308190b111aa8038c9227a completed March 10, 2026, 8 a.m.
Created at: March 6, 2026, 9:59 p.m.