Triple

T52826
Position Surface form Disambiguated ID Type / Status
Subject Get Lifted E1037 entity
Predicate hasPart P35 FINISHED
Object Alright
"Alright" is a song featured on John Legend's debut studio album "Get Lifted."
 E5582 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: Alright | Statement: [Get Lifted, hasPart, Alright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alright
Context triple: [Get Lifted, hasPart, Alright]
  • A. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • B. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • C. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. Reach
    Reach is a contemporary expansion of the John F. Kennedy Center for the Performing Arts in Washington, D.C., featuring flexible indoor and outdoor spaces designed for arts education, performance, and community engagement.
  • 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: Alright
Triple: [Get Lifted, hasPart, Alright]
Generated description
"Alright" is a song featured on John Legend's debut studio album "Get Lifted."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alright
Target entity description: "Alright" is a song featured on John Legend's debut studio album "Get Lifted."
  • A. Nice
    Nice is a prominent Mediterranean coastal city on the French Riviera, known for its mild climate, beaches, and vibrant cultural life.
  • B. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • C. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • D. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • E. Reach
    Reach is a contemporary expansion of the John F. Kennedy Center for the Performing Arts in Washington, D.C., featuring flexible indoor and outdoor spaces designed for arts education, performance, and community engagement.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b04ef708190876686da9db1f04d completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255398bac81909c4ae9bba79f6c19 completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a2570e30d88190b7a0d20cf3a94760 completed Feb. 28, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69a257a1f340819091d3aa5a665ce50b completed Feb. 28, 2026, 2:49 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.