Triple

T5754442
Position Surface form Disambiguated ID Type / Status
Subject Train of Thought E126929 entity
Predicate hasPart P35 FINISHED
Object Good Mourning
Good Mourning is a song by the American rock band Train of Thought.
 E544497 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: Good Mourning | Statement: [Train of Thought, hasPart, Good Mourning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Good Mourning
Context triple: [Train of Thought, hasPart, Good Mourning]
  • A. Good Grief
    Good Grief is the debut studio album by American indie pop band Lucius, noted for its lush harmonies and polished, hook-driven sound.
  • B. Day of Goodwill
    Day of Goodwill is a South African public holiday observed on December 26 that focuses on charity, generosity, and spending time with family and community.
  • C. Good Morning
    "Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
  • D. Good Morning
    "Good Morning" is a classic show tune best known from the 1939 musical film *Babes in Arms* and later popularized in *Singin' in the Rain*.
  • E. Good People
    "Good People" is a mellow, socially conscious acoustic song by Jack Johnson that critiques the influence of television and media on modern society.
  • 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: Good Mourning
Triple: [Train of Thought, hasPart, Good Mourning]
Generated description
Good Mourning is a song by the American rock band Train of Thought.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Good Mourning
Target entity description: Good Mourning is a song by the American rock band Train of Thought.
  • A. Good Grief
    Good Grief is the debut studio album by American indie pop band Lucius, noted for its lush harmonies and polished, hook-driven sound.
  • B. Day of Goodwill
    Day of Goodwill is a South African public holiday observed on December 26 that focuses on charity, generosity, and spending time with family and community.
  • C. Good Morning
    "Good Morning" is a vibrant abstract painting by British artist Howard Hodgkin, known for its expressive brushwork and intense, layered color.
  • D. Good Morning
    "Good Morning" is a classic show tune best known from the 1939 musical film *Babes in Arms* and later popularized in *Singin' in the Rain*.
  • E. Good People
    "Good People" is a mellow, socially conscious acoustic song by Jack Johnson that critiques the influence of television and media on modern society.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02904dcf481909e4340a64ee1034e completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e434aa88190b56e721c002d31b8 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08be0a25481908ae868b2364fcc68 completed March 23, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_69c08c926fc88190a3a06081c1da364e completed March 23, 2026, 12:42 a.m.
Created at: March 22, 2026, 3:49 p.m.