Triple

T20124850
Position Surface form Disambiguated ID Type / Status
Subject Hard Believer E490722 entity
Predicate hasPart P35 FINISHED
Object Green and the Blue
"Green and the Blue" is a song by the Norwegian indie rock band Highasakite, featured on their album *Hard Believer*.
 E1412726 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: Green and the Blue | Statement: [Hard Believer, hasPart, Green and the Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Green and the Blue
Context triple: [Hard Believer, hasPart, Green and the Blue]
  • A. The Red and Blue
    The Red and Blue is a nickname commonly used for sports teams or organizations whose primary colors are red and blue, notably associated with Paris Saint-Germain Football Club.
  • B. The Green
    The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
  • C. The Green
    The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
  • D. The Green
    The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
  • E. Two Shades of Blue
    Two Shades of Blue is a 1999 erotic thriller film centered on a mystery writer framed for murder, notable for starring model and actress Rachel Hunter.
  • 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: Green and the Blue
Triple: [Hard Believer, hasPart, Green and the Blue]
Generated description
"Green and the Blue" is a song by the Norwegian indie rock band Highasakite, featured on their album *Hard Believer*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Green and the Blue
Target entity description: "Green and the Blue" is a song by the Norwegian indie rock band Highasakite, featured on their album *Hard Believer*.
  • A. The Red and Blue
    The Red and Blue is a nickname commonly used for sports teams or organizations whose primary colors are red and blue, notably associated with Paris Saint-Germain Football Club.
  • B. The Green
    The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
  • C. The Green
    The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
  • D. The Green
    The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
  • E. Two Shades of Blue
    Two Shades of Blue is a 1999 erotic thriller film centered on a mystery writer framed for murder, notable for starring model and actress Rachel Hunter.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667412b888190b43f7dd1ccdbad01 completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082dd9c1448190aa4038899470daf0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082e93a1e88190bac5daae12ece9f2 completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f334dd481908edb6ea3ae07e0a7 completed May 16, 2026, 8:47 a.m.
Created at: April 11, 2026, 11:31 p.m.