Triple
T13696008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Weatherman LP |
E328385
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
“Rain or Shine”
“Rain or Shine” is a track from the 2015 hip-hop album *The Weatherman LP* by rapper Evidence.
|
E1055109
|
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: “Rain or Shine” | Statement: [The Weatherman LP, hasPart, “Rain or Shine”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Rain or Shine” Context triple: [The Weatherman LP, hasPart, “Rain or Shine”]
-
A.
"Rain"
"Rain" is a song by Japanese-American singer-songwriter Mika, known for its catchy pop melody and emotive lyrics.
-
B.
Sunshine to the Rain
"Sunshine to the Rain" is a hip-hop and R&B-influenced violin-driven track by The Hip-Hop Violinist, Miri Ben-Ari, showcasing her signature fusion of classical strings with urban beats.
-
C.
Sparkle in the Rain
Sparkle in the Rain is a 1984 studio album by Scottish rock band Simple Minds that marked their transition toward a more anthemic, stadium-oriented sound.
-
D.
Rockin' with the Rhythm of the Rain
"Rockin' with the Rhythm of the Rain" is a country song best known for being a hit single by The Judds in the mid-1980s.
-
E.
Pray for Rain
Pray for Rain is a musical group best known for composing the score to the film "Sid and Nancy."
- 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: “Rain or Shine” Triple: [The Weatherman LP, hasPart, “Rain or Shine”]
Generated description
“Rain or Shine” is a track from the 2015 hip-hop album *The Weatherman LP* by rapper Evidence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Rain or Shine” Target entity description: “Rain or Shine” is a track from the 2015 hip-hop album *The Weatherman LP* by rapper Evidence.
-
A.
"Rain"
"Rain" is a song by Japanese-American singer-songwriter Mika, known for its catchy pop melody and emotive lyrics.
-
B.
Sunshine to the Rain
"Sunshine to the Rain" is a hip-hop and R&B-influenced violin-driven track by The Hip-Hop Violinist, Miri Ben-Ari, showcasing her signature fusion of classical strings with urban beats.
-
C.
Sparkle in the Rain
Sparkle in the Rain is a 1984 studio album by Scottish rock band Simple Minds that marked their transition toward a more anthemic, stadium-oriented sound.
-
D.
Rockin' with the Rhythm of the Rain
"Rockin' with the Rhythm of the Rain" is a country song best known for being a hit single by The Judds in the mid-1980s.
-
E.
Pray for Rain
Pray for Rain is a musical group best known for composing the score to the film "Sid and Nancy."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79453395481909d651cb3a128f23d |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79655d5f08190a3cbf3e12e2ffa67 |
completed | May 3, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7972a1cf48190a1d435227414967a |
completed | May 3, 2026, 6:42 p.m. |
Created at: April 9, 2026, 9:54 p.m.