Triple

T19215295
Position Surface form Disambiguated ID Type / Status
Subject Terry Riley E480465 entity
Predicate notableWork P4 FINISHED
Object In C
"In C" is a landmark 1964 minimalist composition by Terry Riley, built from short repeated musical patterns and known for its open, improvisatory structure.
E1364747 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: In C | Statement: [Terry Riley, notableWork, In C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In C
Context triple: [Terry Riley, notableWork, In C]
  • A. C
    C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
  • B. C
    C is the New York Stock Exchange ticker symbol for Citigroup Inc., a major global financial services and banking corporation.
  • C. C
    C is one of the three central women in Edward Albee’s play "Three Tall Women," representing a younger stage of the protagonist’s life and perspective.
  • D. C
    C is a Copenhagen S-train commuter rail line that runs through central Copenhagen and connects key suburban areas in the metropolitan network.
  • E. C
    C is a metro line of the Prague Metro system, serving as one of the main north–south rapid transit routes through the city.
  • 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: In C
Triple: [Terry Riley, notableWork, In C]
Generated description
"In C" is a landmark 1964 minimalist composition by Terry Riley, built from short repeated musical patterns and known for its open, improvisatory structure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: In C
Target entity description: "In C" is a landmark 1964 minimalist composition by Terry Riley, built from short repeated musical patterns and known for its open, improvisatory structure.
  • A. C
    C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
  • B. C
    C is a light rail service designation used by the Los Angeles Metro system for one of its primary rail lines.
  • C. C
    C is the New York Stock Exchange ticker symbol for Citigroup Inc., a major global financial services and banking corporation.
  • D. C
    C is a metro line of the Prague Metro system, serving as one of the main north–south rapid transit routes through the city.
  • E. C
    C is a local service on the New York City Subway that runs along the Eighth Avenue Line in Manhattan and continues through Brooklyn.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3a417c819083e2e276d44d4d89 completed April 20, 2026, 10:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0700e8c1bc819080e76691add99c34 completed May 15, 2026, 11:18 a.m.
NEDg Description generation batch_6a07022719d08190b40fb61555fda4ab completed May 15, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_6a07029fa9e081908603fa45ab77b8e9 completed May 15, 2026, 11:25 a.m.
Created at: April 10, 2026, 1:22 p.m.