Triple

T1630383
Position Surface form Disambiguated ID Type / Status
Subject Clint Black E35242 entity
Predicate notableWork P4 FINISHED
Object Like the Rain
"Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
 E185341 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: Like the Rain | Statement: [Clint Black, notableWork, Like the Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Like the Rain
Context triple: [Clint Black, notableWork, Like the Rain]
  • A. Love in the Rain
    Love in the Rain is an Egyptian film featuring renowned actress Faten Hamama in a leading role.
  • B. 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.
  • 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. My Face in the Rain
    "My Face in the Rain" is a track by Greek composer Vangelis featured on his 1979 electronic music album *Earth*.
  • E. Buckets of Rain
    "Buckets of Rain" is a gentle, acoustic folk song by Bob Dylan, noted for its bittersweet, understated reflection on love and resilience and serving as the closing track on his acclaimed album *Blood on the Tracks*.
  • 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: Like the Rain
Triple: [Clint Black, notableWork, Like the Rain]
Generated description
"Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Like the Rain
Target entity description: "Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
  • A. Love in the Rain
    Love in the Rain is an Egyptian film featuring renowned actress Faten Hamama in a leading role.
  • B. 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.
  • 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. My Face in the Rain
    "My Face in the Rain" is a track by Greek composer Vangelis featured on his 1979 electronic music album *Earth*.
  • E. Buckets of Rain
    "Buckets of Rain" is a gentle, acoustic folk song by Bob Dylan, noted for its bittersweet, understated reflection on love and resilience and serving as the closing track on his acclaimed album *Blood on the Tracks*.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb3a9b634819086b44f1574e97dcb completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d5acd8819090c51678ce0f63f0 completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a619da481908d66837ea94c91cf completed March 8, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69ad5b41a68c8190ba293d8e8c35521b completed March 8, 2026, 11:19 a.m.
Created at: March 4, 2026, 7:28 p.m.