Triple

T10246342
Position Surface form Disambiguated ID Type / Status
Subject Sugar Symphony E240221 entity
Predicate hasTrack P3284 FINISHED
Object Red Lights
"Red Lights" is a song featured on the debut EP "Sugar Symphony" by the American musical duo Chloe x Halle.
 E853941 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: Red Lights | Statement: [Sugar Symphony, hasTrack, Red Lights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Lights
Context triple: [Sugar Symphony, hasTrack, Red Lights]
  • A. Red Light
    "Red Light" is a song by the American rock band War, known for their fusion of funk, rock, and Latin influences.
  • B. Bright Lights
    "Bright Lights" is a popular rock song by American band Matchbox Twenty, known for its emotive lyrics and piano-driven melody.
  • C. Chasing Lights
    Chasing Lights is the first studio album by British-Irish girl group The Saturdays, featuring pop tracks that introduced them to mainstream success.
  • D. Two Lights
    Two Lights is a well-known pair of historic lighthouses on the rocky coast of Cape Elizabeth, Maine, that has become an iconic maritime landmark and scenic attraction.
  • E. Greenlights
    Greenlights is a bestselling memoir by actor Matthew McConaughey that blends personal stories, life lessons, and philosophical reflections.
  • 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: Red Lights
Triple: [Sugar Symphony, hasTrack, Red Lights]
Generated description
"Red Lights" is a song featured on the debut EP "Sugar Symphony" by the American musical duo Chloe x Halle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Red Lights
Target entity description: "Red Lights" is a song featured on the debut EP "Sugar Symphony" by the American musical duo Chloe x Halle.
  • A. Red Light
    "Red Light" is a song by the American rock band War, known for their fusion of funk, rock, and Latin influences.
  • B. Bright Lights
    "Bright Lights" is a popular rock song by American band Matchbox Twenty, known for its emotive lyrics and piano-driven melody.
  • C. Chasing Lights
    Chasing Lights is the first studio album by British-Irish girl group The Saturdays, featuring pop tracks that introduced them to mainstream success.
  • D. Two Lights
    Two Lights is a well-known pair of historic lighthouses on the rocky coast of Cape Elizabeth, Maine, that has become an iconic maritime landmark and scenic attraction.
  • E. Greenlights
    Greenlights is a bestselling memoir by actor Matthew McConaughey that blends personal stories, life lessons, and philosophical reflections.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22cfe1c8190afae178e11a59b8b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7a597188190880200d13784f18f completed April 9, 2026, 12:49 a.m.
NEDg Description generation batch_69d6fcab0bfc8190b47bc165ef3eb15d completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d70fc3b15081908d1b67a7094c6210 completed April 9, 2026, 2:32 a.m.
Created at: April 6, 2026, 11:26 a.m.