Triple

T3114889
Position Surface form Disambiguated ID Type / Status
Subject Pace University E65038 entity
Predicate nickname P55 FINISHED
Object Setters
The Setters is the nickname for the athletic teams representing Pace University in collegiate sports.
E327855 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: Setters | Statement: [Pace University, nickname, Setters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Setters
Context triple: [Pace University, nickname, Setters]
  • A. Set
    Set is an ancient Egyptian god associated primarily with chaos, storms, and disorder, often depicted as the adversary of his brother Osiris and the rival of Horus.
  • B. SETS
    SETS is the London Stock Exchange’s central electronic order book system used for automated trading of the most liquid UK securities.
  • C. Mutable Set (track)
    "Mutable Set (track)" is a song by the American singer-songwriter Blake Mills from his critically acclaimed 2020 album "Mutable Set."
  • D. Mutable Set
    Mutable Set is a 2020 studio album by American guitarist and songwriter Blake Mills, noted for its intricate production and introspective, experimental folk-rock sound.
  • E. SETL
    SETL is a high-level programming language developed in the late 1960s that is notable for its powerful set-theoretic abstractions and influence on later language design.
  • 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: Setters
Triple: [Pace University, nickname, Setters]
Generated description
The Setters is the nickname for the athletic teams representing Pace University in collegiate sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Setters
Target entity description: The Setters is the nickname for the athletic teams representing Pace University in collegiate sports.
  • A. Set
    Set is an ancient Egyptian god associated primarily with chaos, storms, and disorder, often depicted as the adversary of his brother Osiris and the rival of Horus.
  • B. SETS
    SETS is the London Stock Exchange’s central electronic order book system used for automated trading of the most liquid UK securities.
  • C. Mutable Set (track)
    "Mutable Set (track)" is a song by the American singer-songwriter Blake Mills from his critically acclaimed 2020 album "Mutable Set."
  • D. Mutable Set
    Mutable Set is a 2020 studio album by American guitarist and songwriter Blake Mills, noted for its intricate production and introspective, experimental folk-rock sound.
  • E. SETL
    SETL is a high-level programming language developed in the late 1960s that is notable for its powerful set-theoretic abstractions and influence on later language design.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43dca688190ab041554220c5271 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2039b11d4819095ee77d84d6e7b8a completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b20563abdc8190a51e1cfbcc6e0075 completed March 12, 2026, 12:14 a.m.
NED2 Entity disambiguation (via description) batch_69b205f1b3c08190a63fd9494dc8aee8 completed March 12, 2026, 12:16 a.m.
Created at: March 8, 2026, 3:04 p.m.