Triple

T1872539
Position Surface form Disambiguated ID Type / Status
Subject Peter Gabriel E39063 entity
Predicate notableSong P4 FINISHED
Object Red Rain
"Red Rain" is a 1986 art rock song by Peter Gabriel, known for its atmospheric production, vivid apocalyptic imagery, and role as the opening track on his acclaimed album *So*.
 E209047 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 Rain | Statement: [Peter Gabriel, notableSong, Red Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Red Rain
Context triple: [Peter Gabriel, notableSong, Red Rain]
  • A. Like the Rain
    "Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
  • B. No Rain
    "No Rain" is a 1992 alternative rock song by Blind Melon, best known for its catchy melody and iconic "bee girl" music video.
  • C. Tears and Rain
    "Tears and Rain" is a song by James Blunt from his debut album *Back to Bedlam*, known for its melancholic lyrics and soft rock style.
  • D. Rain and Tears
    "Rain and Tears" is a 1968 baroque pop ballad by Greek band Aphrodite's Child, noted for its melancholic melody and prominent use of organ.
  • E. Love in the Rain
    Love in the Rain is an Egyptian film featuring renowned actress Faten Hamama in a leading role.
  • 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 Rain
Triple: [Peter Gabriel, notableSong, Red Rain]
Generated description
"Red Rain" is a 1986 art rock song by Peter Gabriel, known for its atmospheric production, vivid apocalyptic imagery, and role as the opening track on his acclaimed album *So*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Red Rain
Target entity description: "Red Rain" is a 1986 art rock song by Peter Gabriel, known for its atmospheric production, vivid apocalyptic imagery, and role as the opening track on his acclaimed album *So*.
  • A. Like the Rain
    "Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
  • B. No Rain
    "No Rain" is a 1992 alternative rock song by Blind Melon, best known for its catchy melody and iconic "bee girl" music video.
  • C. Tears and Rain
    "Tears and Rain" is a song by James Blunt from his debut album *Back to Bedlam*, known for its melancholic lyrics and soft rock style.
  • D. Rain and Tears
    "Rain and Tears" is a 1968 baroque pop ballad by Greek band Aphrodite's Child, noted for its melancholic melody and prominent use of organ.
  • E. Love in the Rain
    Love in the Rain is an Egyptian film featuring renowned actress Faten Hamama in a leading role.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0d4dc6c81908ecd55abd779ae3a completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1dd2d748190976277ac25f938ee completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add4628ed081908ea939b95e005299 completed March 8, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69add4e97dd08190a091d3d265b39138 completed March 8, 2026, 7:58 p.m.
Created at: March 4, 2026, 7:34 p.m.