Triple

T2843116
Position Surface form Disambiguated ID Type / Status
Subject University of Connecticut E62515 entity
Predicate motto P42 FINISHED
Object Truth
Truth is the concept of alignment between statements or beliefs and reality, often regarded as a fundamental philosophical and ethical ideal.
E303545 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: Truth | Statement: [University of Connecticut, motto, Truth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Truth
Context triple: [University of Connecticut, motto, Truth]
  • A. True
    "True" is a song featured on the album "Human" by the British singer and songwriter Rag'n'Bone Man.
  • B. Truth and Reality
    Truth and Reality is a psychological and philosophical work by Otto Rank that explores the nature of the self, creativity, and human experience beyond traditional Freudian theory.
  • C. Truthfully
    "Truthfully" is a song featured on Justin Bieber's debut studio album "My World 2.0."
  • D. The Truth
    The Truth is the famous nickname of former NBA star Paul Pierce, a Hall of Fame small forward best known for his long tenure and championship with the Boston Celtics.
  • E. Truth and Meaning
    Truth and Meaning is a seminal philosophical essay by Donald Davidson that argues for understanding meaning through a formal theory of truth inspired by Tarski.
  • 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: Truth
Triple: [University of Connecticut, motto, Truth]
Generated description
Truth is the concept of alignment between statements or beliefs and reality, often regarded as a fundamental philosophical and ethical ideal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Truth
Target entity description: Truth is the concept of alignment between statements or beliefs and reality, often regarded as a fundamental philosophical and ethical ideal.
  • A. True
    "True" is a song featured on the album "Human" by the British singer and songwriter Rag'n'Bone Man.
  • B. Truth and Reality
    Truth and Reality is a psychological and philosophical work by Otto Rank that explores the nature of the self, creativity, and human experience beyond traditional Freudian theory.
  • C. Truthfully
    "Truthfully" is a song featured on Justin Bieber's debut studio album "My World 2.0."
  • D. The Truth
    The Truth is the famous nickname of former NBA star Paul Pierce, a Hall of Fame small forward best known for his long tenure and championship with the Boston Celtics.
  • E. Truth and Meaning
    Truth and Meaning is a seminal philosophical essay by Donald Davidson that argues for understanding meaning through a formal theory of truth inspired by Tarski.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1898748190b031a2bd2091c0c0 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d570388190b4ed81ace605c6c3 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afe9ba068881908727c82d5eddb974 completed March 10, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69b00412e7448190898050f18f64ea9a completed March 10, 2026, 11:44 a.m.
Created at: March 6, 2026, 10:01 p.m.