Triple

T13059099
Position Surface form Disambiguated ID Type / Status
Subject Views E329154 entity
Predicate hasPart P35 FINISHED
Object Too Good
Too Good is a song featured on Drake’s 2016 album "Views," known for its dancehall-influenced sound and collaboration with Rihanna.
 E1018135 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: Too Good | Statement: [Views, hasPart, Too Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Too Good
Context triple: [Views, hasPart, Too Good]
  • A. So Good
    "So Good" is the 2017 debut international studio album by Swedish pop singer Zara Larsson, featuring hit singles like "Lush Life" and "Ain't My Fault."
  • B. So Good
    "So Good" is a popular hip hop and pop-rap single by American rapper B.o.B, known for its catchy melody and romantic, feel-good lyrics.
  • C. So Good
    "So Good" is a 2005 pop single by British singer Rachel Stevens, known for its sleek production and dance-pop sound.
  • D. Be Good
    "Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
  • E. Be Good
    "Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
  • 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: Too Good
Triple: [Views, hasPart, Too Good]
Generated description
Too Good is a song featured on Drake’s 2016 album "Views," known for its dancehall-influenced sound and collaboration with Rihanna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Too Good
Target entity description: Too Good is a song featured on Drake’s 2016 album "Views," known for its dancehall-influenced sound and collaboration with Rihanna.
  • A. So Good
    "So Good" is the 2017 debut international studio album by Swedish pop singer Zara Larsson, featuring hit singles like "Lush Life" and "Ain't My Fault."
  • B. So Good
    "So Good" is a popular hip hop and pop-rap single by American rapper B.o.B, known for its catchy melody and romantic, feel-good lyrics.
  • C. So Good
    "So Good" is a 2005 pop single by British singer Rachel Stevens, known for its sleek production and dance-pop sound.
  • D. Be Good
    "Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
  • E. Be Good
    "Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980be37208190962e91f1e19df159 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe0bf3081909ff498ac66cb2aa6 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd0e88e08190a07468336bb624f0 completed May 3, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce2c7630819091433543dfdf8402 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:58 p.m.