Triple

T1794188
Position Surface form Disambiguated ID Type / Status
Subject Direct E39566 entity
Predicate hasPart P35 FINISHED
Object Metallic Rain
Metallic Rain is a science fiction novel by Alastair Reynolds that explores themes of advanced technology, space exploration, and the consequences of human ambition.
 E200912 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: Metallic Rain | Statement: [Direct, hasPart, Metallic Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metallic Rain
Context triple: [Direct, hasPart, Metallic Rain]
  • A. 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.
  • B. Like the Rain
    "Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
  • C. Steel Rain
    "Steel Rain" is a moody, atmospheric rock song by Chris Cornell from his solo album *Euphoria Morning*, showcasing his distinctive vocals and introspective songwriting.
  • D. 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.
  • E. Can You Stand the Rain
    "Can You Stand the Rain" is a 1988 R&B ballad by New Edition, known for its lush harmonies and themes of enduring love through difficult times.
  • 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: Metallic Rain
Triple: [Direct, hasPart, Metallic Rain]
Generated description
Metallic Rain is a science fiction novel by Alastair Reynolds that explores themes of advanced technology, space exploration, and the consequences of human ambition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metallic Rain
Target entity description: Metallic Rain is a science fiction novel by Alastair Reynolds that explores themes of advanced technology, space exploration, and the consequences of human ambition.
  • A. 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.
  • B. Like the Rain
    "Like the Rain" is a popular 1996 country song by Clint Black that became one of his signature hits.
  • C. Steel Rain
    "Steel Rain" is a moody, atmospheric rock song by Chris Cornell from his solo album *Euphoria Morning*, showcasing his distinctive vocals and introspective songwriting.
  • D. 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.
  • E. Can You Stand the Rain
    "Can You Stand the Rain" is a 1988 R&B ballad by New Edition, known for its lush harmonies and themes of enduring love through difficult times.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa653c4c148190bfe6ac017ecbf695 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d26afc81909675064289d3a5b8 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb69c149081908b5b819c068a1ce2 completed March 8, 2026, 5:49 p.m.
NED2 Entity disambiguation (via description) batch_69adb8be528c819092a5e22b099fc2a0 completed March 8, 2026, 5:58 p.m.
Created at: March 4, 2026, 7:32 p.m.