Triple

T9367819
Position Surface form Disambiguated ID Type / Status
Subject Available Light (EP) E225449 entity
Predicate hasTrack P3284 FINISHED
Object Glisten
"Glisten" is a track from the EP *Available Light*, likely showcasing the release’s atmospheric and reflective musical style.
 E795018 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: Glisten | Statement: [Available Light (EP), hasTrack, Glisten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Glisten
Context triple: [Available Light (EP), hasTrack, Glisten]
  • A. Glister
    Glister is an oral care brand from Amway known for its toothpaste and related dental hygiene products.
  • B. Luster
    Luster is a minor but significant character in William Faulkner’s novel "The Sound and the Fury," serving as a young Black caretaker to Benjy Compson and reflecting the social and racial dynamics of the Compson household.
  • C. Luster
    Luster is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, glaciers, and historic stave churches.
  • D. Sparkle
    Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
  • E. Sparkle
    Sparkle is an American R&B singer best known for her late-1990s work and collaborations with R. Kelly, including the hit single "Be Careful."
  • 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: Glisten
Triple: [Available Light (EP), hasTrack, Glisten]
Generated description
"Glisten" is a track from the EP *Available Light*, likely showcasing the release’s atmospheric and reflective musical style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Glisten
Target entity description: "Glisten" is a track from the EP *Available Light*, likely showcasing the release’s atmospheric and reflective musical style.
  • A. Glister
    Glister is an oral care brand from Amway known for its toothpaste and related dental hygiene products.
  • B. Luster
    Luster is a minor but significant character in William Faulkner’s novel "The Sound and the Fury," serving as a young Black caretaker to Benjy Compson and reflecting the social and racial dynamics of the Compson household.
  • C. Luster
    Luster is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, glaciers, and historic stave churches.
  • D. Sparkle
    Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
  • E. Sparkle
    Sparkle is an American R&B singer best known for her late-1990s work and collaborations with R. Kelly, including the hit single "Be Careful."
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd507f9ed8819092967b204faa4408 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f4010ea88190b056f57bab78bef9 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f49e229c8190a91452591aee2414 completed April 4, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69d0f71220588190b97d8fce942fbf50 completed April 4, 2026, 11:33 a.m.
Created at: March 30, 2026, 7:43 p.m.