Triple

T8636979
Position Surface form Disambiguated ID Type / Status
Subject Utopia E204546 entity
Predicate hasPart P35 FINISHED
Object track "Lost Forever"
"Lost Forever" is a song featured on the album "Utopia."
 E747324 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: track "Lost Forever" | Statement: [Utopia, hasPart, track "Lost Forever"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: track "Lost Forever"
Context triple: [Utopia, hasPart, track "Lost Forever"]
  • A. track "Not the Way That I Do"
    "Not the Way That I Do" is an R&B song by American singer Fantasia, featured as a track on her self-titled third studio album.
  • B. Lost in Music
    "Lost in Music" is a 1979 disco and soul song by American vocal group Sister Sledge, celebrated as one of their signature hits and a classic of the genre.
  • C. track "Poinciana"
    "Poinciana" is a celebrated jazz track most famously interpreted by pianist Ahmad Jamal, whose minimalist, rhythmic 1958 recording became a landmark of modern jazz.
  • D. track "Hood Boy"
    "Hood Boy" is a song by American singer Fantasia from her self-titled second studio album, blending R&B and hip-hop influences.
  • E. Lost Lost Lost
    Lost Lost Lost is an experimental diary film by Jonas Mekas that chronicles his early years as a Lithuanian émigré in New York through intimate 16mm footage shot between the 1950s and 1960s.
  • 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: track "Lost Forever"
Triple: [Utopia, hasPart, track "Lost Forever"]
Generated description
"Lost Forever" is a song featured on the album "Utopia."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: track "Lost Forever"
Target entity description: "Lost Forever" is a song featured on the album "Utopia."
  • A. track "Not the Way That I Do"
    "Not the Way That I Do" is an R&B song by American singer Fantasia, featured as a track on her self-titled third studio album.
  • B. Lost in Music
    "Lost in Music" is a 1979 disco and soul song by American vocal group Sister Sledge, celebrated as one of their signature hits and a classic of the genre.
  • C. track "Poinciana"
    "Poinciana" is a celebrated jazz track most famously interpreted by pianist Ahmad Jamal, whose minimalist, rhythmic 1958 recording became a landmark of modern jazz.
  • D. track "Hood Boy"
    "Hood Boy" is a song by American singer Fantasia from her self-titled second studio album, blending R&B and hip-hop influences.
  • E. Lost Lost Lost
    Lost Lost Lost is an experimental diary film by Jonas Mekas that chronicles his early years as a Lithuanian émigré in New York through intimate 16mm footage shot between the 1950s and 1960s.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc476255508190b3e5855232b399a0 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc23d6808190801993e41d93bb9c completed April 2, 2026, 6:57 p.m.
NEDg Description generation batch_69cebcc2d8c08190a7273123fb79b9f7 completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebd48bde481909b508d52f4720989 completed April 2, 2026, 7:02 p.m.
Created at: March 30, 2026, 6:27 p.m.