Triple

T20124809
Position Surface form Disambiguated ID Type / Status
Subject Perfect Darkness E490721 entity
Predicate hasTrack P3284 FINISHED
Object Wheels
"Wheels" is a track from Fink's critically acclaimed 2011 album "Perfect Darkness," known for its moody, atmospheric blend of folk, blues, and downtempo influences.
 E1412720 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: Wheels | Statement: [Perfect Darkness, hasTrack, Wheels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wheels
Context triple: [Perfect Darkness, hasTrack, Wheels]
  • A. Wheels
    Wheels is a mathematical puzzle and recreational mathematics topic discussed in Martin Gardner’s collection "Wheels, Life and Other Mathematical Amusements."
  • B. Wheels
    "Wheels" is a song by Australian country singer-songwriter Kasey Chambers, recognized as one of her notable recordings.
  • C. Wheels
    "Wheels" is a country-rock song associated with musician Chris Hillman, reflecting his influential role in the development of the genre.
  • D. Wheels
    Wheels is a novel by Arthur Hailey that offers a dramatic, behind-the-scenes look at the American automobile industry and its corporate, political, and personal conflicts.
  • E. Wheelie
    Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
  • 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: Wheels
Triple: [Perfect Darkness, hasTrack, Wheels]
Generated description
"Wheels" is a track from Fink's critically acclaimed 2011 album "Perfect Darkness," known for its moody, atmospheric blend of folk, blues, and downtempo influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wheels
Target entity description: "Wheels" is a track from Fink's critically acclaimed 2011 album "Perfect Darkness," known for its moody, atmospheric blend of folk, blues, and downtempo influences.
  • A. Wheels
    Wheels is a mathematical puzzle and recreational mathematics topic discussed in Martin Gardner’s collection "Wheels, Life and Other Mathematical Amusements."
  • B. Wheels
    "Wheels" is a song by Australian country singer-songwriter Kasey Chambers, recognized as one of her notable recordings.
  • C. Wheels
    "Wheels" is a country-rock song associated with musician Chris Hillman, reflecting his influential role in the development of the genre.
  • D. Wheels
    Wheels is a novel by Arthur Hailey that offers a dramatic, behind-the-scenes look at the American automobile industry and its corporate, political, and personal conflicts.
  • E. Wheelie
    Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667412b888190b43f7dd1ccdbad01 completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082dd9c1448190aa4038899470daf0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082e93a1e88190bac5daae12ece9f2 completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f334dd481908edb6ea3ae07e0a7 completed May 16, 2026, 8:47 a.m.
Created at: April 11, 2026, 11:31 p.m.