Triple

T20468116
Position Surface form Disambiguated ID Type / Status
Subject Don Ellis E502108 entity
Predicate notableWork P4 FINISHED
Object Soaring
Soaring is a 1973 jazz album by trumpeter and bandleader Don Ellis, known for its innovative use of complex time signatures and large ensemble arrangements.
E1432760 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: Soaring | Statement: [Don Ellis, notableWork, Soaring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soaring
Context triple: [Don Ellis, notableWork, Soaring]
  • A. Aerial
    Aerial is a 2005 double studio album by English art-pop musician Kate Bush, noted for its ambitious conceptual structure and richly atmospheric sound.
  • B. Soaring: Fantastic Flight
    Soaring: Fantastic Flight is a popular Disney theme park attraction that simulates a breathtaking hang-gliding journey over famous landmarks and scenic vistas.
  • C. Soaring Eagles
    Soaring Eagles is the athletic and school spirit mascot representing Union City High School’s teams and student body.
  • D. Soar
    Soar is the surname of Hank Soar, an American football player and longtime Major League Baseball umpire.
  • E. Soar
    Soar is a cognitive architecture and artificial intelligence framework co-developed by Allen Newell to model and implement general intelligent behavior.
  • 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: Soaring
Triple: [Don Ellis, notableWork, Soaring]
Generated description
Soaring is a 1973 jazz album by trumpeter and bandleader Don Ellis, known for its innovative use of complex time signatures and large ensemble arrangements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soaring
Target entity description: Soaring is a 1973 jazz album by trumpeter and bandleader Don Ellis, known for its innovative use of complex time signatures and large ensemble arrangements.
  • A. Aerial
    Aerial is a 2005 double studio album by English art-pop musician Kate Bush, noted for its ambitious conceptual structure and richly atmospheric sound.
  • B. Soaring: Fantastic Flight
    Soaring: Fantastic Flight is a popular Disney theme park attraction that simulates a breathtaking hang-gliding journey over famous landmarks and scenic vistas.
  • C. Soaring Eagles
    Soaring Eagles is the athletic and school spirit mascot representing Union City High School’s teams and student body.
  • D. Soar
    Soar is the surname of Hank Soar, an American football player and longtime Major League Baseball umpire.
  • E. Soar
    Soar is a cognitive architecture and artificial intelligence framework co-developed by Allen Newell to model and implement general intelligent behavior.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995e71c08190911fadbc433f0f4d completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b1a82a88190a5f531c43cdd15cb completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c9b40788190b76ef5c582996d34 completed May 16, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a088d186a38819085c8809560e94745 completed May 16, 2026, 3:28 p.m.
Created at: April 16, 2026, 11:33 a.m.