Triple

T13673584
Position Surface form Disambiguated ID Type / Status
Subject Rachel Berry E327813 entity
Predicate attends P2636 FINISHED
Object NYADA
NYADA is a prestigious fictional performing arts conservatory in New York City featured in the television series "Glee."
 E1052731 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: NYADA | Statement: [Rachel Berry, attends, NYADA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NYADA
Context triple: [Rachel Berry, attends, NYADA]
  • A. NYA
    NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
  • B. NYD
    NYD is the commonly used abbreviation for Botswana’s Ntlo ya Dikgosi, the national House of Chiefs that advises on constitutional and traditional matters.
  • C. NKDA
    NKDA is the commonly used abbreviation for New Town, a planned satellite township on the eastern fringes of Kolkata, India.
  • D. NYJ
    NYJ is the common abbreviation for the New York Jets, a professional American football team based in the New York metropolitan area that competes in the NFL.
  • E. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • 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: NYADA
Triple: [Rachel Berry, attends, NYADA]
Generated description
NYADA is a prestigious fictional performing arts conservatory in New York City featured in the television series "Glee."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NYADA
Target entity description: NYADA is a prestigious fictional performing arts conservatory in New York City featured in the television series "Glee."
  • A. NYA
    NYA is the ticker symbol used to represent the NYSE Composite Index on financial data and trading platforms.
  • B. NYD
    NYD is the commonly used abbreviation for Botswana’s Ntlo ya Dikgosi, the national House of Chiefs that advises on constitutional and traditional matters.
  • C. NKDA
    NKDA is the commonly used abbreviation for New Town, a planned satellite township on the eastern fringes of Kolkata, India.
  • D. NYJ
    NYJ is the common abbreviation for the New York Jets, a professional American football team based in the New York metropolitan area that competes in the NFL.
  • E. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65aab348190a6611f5765f8392d completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b145fa081908521c103201f3afe completed May 3, 2026, 5:51 p.m.
NEDg Description generation batch_69f78bd727048190a57a75294a9ab53d completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78c94da6c8190b9bc1d04cee19c3c completed May 3, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:53 p.m.