Triple

T12491042
Position Surface form Disambiguated ID Type / Status
Subject Carpe Diem E298561 entity
Predicate hasTrack P3284 FINISHED
Object Greenlight
"Greenlight" is a song by the New Zealand singer-songwriter Lorde from her 2017 album "Melodrama."
 E988165 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: Greenlight | Statement: [Carpe Diem, hasTrack, Greenlight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greenlight
Context triple: [Carpe Diem, hasTrack, Greenlight]
  • A. Green Light
    "Green Light" is an upbeat, dance-pop and R&B single by John Legend featuring André 3000, known for its energetic tempo and departure from Legend’s usual soulful ballad style.
  • B. Green Light
    "Green Light" is an upbeat R&B-pop song by Beyoncé, known for its brassy production, assertive lyrics, and energetic vocal performance.
  • C. Green Light
    "Green Light" is a 1935 American drama film, adapted from Lloyd C. Douglas's novel, for which Samson Raphaelson wrote the screenplay.
  • D. Green Light
    "Green Light" is a 1982 blues-rock album by American singer-songwriter and guitarist Bonnie Raitt, showcasing her blend of rock, blues, and roots influences.
  • 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: Greenlight
Triple: [Carpe Diem, hasTrack, Greenlight]
Generated description
"Greenlight" is a song by the New Zealand singer-songwriter Lorde from her 2017 album "Melodrama."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greenlight
Target entity description: "Greenlight" is a song by the New Zealand singer-songwriter Lorde from her 2017 album "Melodrama."
  • A. Green Light
    "Green Light" is an upbeat, dance-pop and R&B single by John Legend featuring André 3000, known for its energetic tempo and departure from Legend’s usual soulful ballad style.
  • B. Green Light
    "Green Light" is an upbeat R&B-pop song by Beyoncé, known for its brassy production, assertive lyrics, and energetic vocal performance.
  • C. Green Light
    "Green Light" is a 1982 blues-rock album by American singer-songwriter and guitarist Bonnie Raitt, showcasing her blend of rock, blues, and roots influences.
  • D. Green Light
    "Green Light" is a 1935 American drama film, adapted from Lloyd C. Douglas's novel, for which Samson Raphaelson wrote the screenplay.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de3076c81909640c982d520ca6b completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba9e1108190b74984d9da9baebe completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c535c9881908e5bf07d13fa73c5 completed May 2, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f6508afef08190ac7a19b1ee90141e completed May 2, 2026, 7:29 p.m.
Created at: April 8, 2026, 9:56 p.m.