Triple

T21928260
Position Surface form Disambiguated ID Type / Status
Subject Fame and Wealth E541497 entity
Predicate hasTrack P3284 FINISHED
Object The Grammy Song
"The Grammy Song" is a track by Fame and Wealth that humorously reflects on the music industry's obsession with awards and recognition.
 E1508977 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: The Grammy Song | Statement: [Fame and Wealth, hasTrack, The Grammy Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Grammy Song
Context triple: [Fame and Wealth, hasTrack, The Grammy Song]
  • A. This Song
    "This Song" is a track from Grizzly Bear’s debut album "Horn of Plenty," showcasing the band’s early lo-fi, experimental indie sound.
  • B. Thank You for the Music
    "Thank You for the Music" is a popular ABBA song, later featured prominently in the musical and film "Mamma Mia!" where it is performed by the character Harry Bright among others.
  • C. I’m a Song
    "I’m a Song" is a country and Americana album by singer-songwriter Jim Lauderdale, showcasing his traditional roots and storytelling style.
  • D. One Song
    "One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
  • E. Our Song
    "Our Song" is a track by the American rock band Therapy? known for their alternative metal and punk-influenced sound.
  • 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: The Grammy Song
Triple: [Fame and Wealth, hasTrack, The Grammy Song]
Generated description
"The Grammy Song" is a track by Fame and Wealth that humorously reflects on the music industry's obsession with awards and recognition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Grammy Song
Target entity description: "The Grammy Song" is a track by Fame and Wealth that humorously reflects on the music industry's obsession with awards and recognition.
  • A. This Song
    "This Song" is a track from Grizzly Bear’s debut album "Horn of Plenty," showcasing the band’s early lo-fi, experimental indie sound.
  • B. Thank You for the Music
    "Thank You for the Music" is a popular ABBA song, later featured prominently in the musical and film "Mamma Mia!" where it is performed by the character Harry Bright among others.
  • C. I’m a Song
    "I’m a Song" is a country and Americana album by singer-songwriter Jim Lauderdale, showcasing his traditional roots and storytelling style.
  • D. One Song
    "One Song" is a romantic ballad sung by the Prince in Disney's 1937 animated film Snow White and the Seven Dwarfs.
  • E. Our Song
    "Our Song" is a track by the American rock band Therapy? known for their alternative metal and punk-influenced sound.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fcd08481909fecbb2cf0405933 completed April 28, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60e3ad4c8190a874b2659388556a completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a618e55c4819099ab070410e4f1a9 completed May 18, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0a621fe47081908575a17b9895395a completed May 18, 2026, 12:49 a.m.
Created at: April 16, 2026, 7:46 p.m.