Triple

T3275286
Position Surface form Disambiguated ID Type / Status
Subject Shine E68742 entity
Predicate notableTrack P8087 FINISHED
Object In the Rain
"In the Rain" is a song best known as a soulful 1971 hit by the American R&B group The Dramatics, featuring lush production and emotive vocals.
 E344624 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: In the Rain | Statement: [Shine, notableTrack, In the Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: In the Rain
Context triple: [Shine, notableTrack, In the 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. It Will Rain
    "It Will Rain" is a pop-R&B ballad by Bruno Mars, best known for its emotional lyrics about heartbreak and its inclusion on the soundtrack of "The Twilight Saga: Breaking Dawn – Part 1."
  • C. 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.
  • D. "Rain"
    "Rain" is a song by Japanese-American singer-songwriter Mika, known for its catchy pop melody and emotive lyrics.
  • E. 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.
  • 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: In the Rain
Triple: [Shine, notableTrack, In the Rain]
Generated description
"In the Rain" is a song best known as a soulful 1971 hit by the American R&B group The Dramatics, featuring lush production and emotive vocals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: In the Rain
Target entity description: "In the Rain" is a song best known as a soulful 1971 hit by the American R&B group The Dramatics, featuring lush production and emotive vocals.
  • A. Like the Rain
    "Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
  • B. It Will Rain
    "It Will Rain" is a pop-R&B ballad by Bruno Mars, best known for its emotional lyrics about heartbreak and its inclusion on the soundtrack of "The Twilight Saga: Breaking Dawn – Part 1."
  • C. 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.
  • D. "Rain"
    "Rain" is a song by Japanese-American singer-songwriter Mika, known for its catchy pop melody and emotive lyrics.
  • E. 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.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff8a440819092509bc8511b2785 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e841d5588190a53ba90a46721b0f completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8b79d308190922a310ff1337eae completed March 12, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_69b2e9ba41948190b9e4f6f54f32603c completed March 12, 2026, 4:28 p.m.
Created at: March 8, 2026, 3:10 p.m.