Triple

T7187768
Position Surface form Disambiguated ID Type / Status
Subject Dr. Mario E167612 entity
Predicate hasMusicTrack P20452 FINISHED
Object Fever E549280 NE FINISHED

How this triple was built (3 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: Fever | Statement: [Dr. Mario, hasMusicTrack, Fever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fever
Context triple: [Dr. Mario, hasMusicTrack, Fever]
  • A. Fever
    "Fever" is a track by the experimental hip-hop group Black Milk, known for its intricate production and innovative approach to rap music.
  • B. Fever
    "Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
  • C. Fever chosen
    "Fever" is a classic, sultry jazz-pop song popularized by Peggy Lee, renowned for its minimalist arrangement and intimate vocal style.
  • D. Chills and Fever
    "Chills and Fever" is a collection of poems by American poet and critic John Crowe Ransom, showcasing his formal precision, irony, and themes of Southern life and modern dislocation.
  • E. Fever 103°
    Fever 103° is a confessional poem by Sylvia Plath that vividly explores themes of illness, purification, and transcendence through intense, hallucinatory imagery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMusicTrack
Context triple: [Dr. Mario, hasMusicTrack, Fever]
  • A. hasMusical
    Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
  • B. hasSong chosen
    Indicates that one entity possesses, features, or includes a particular song.
  • C. hasMusicCharacteristic
    Indicates that an entity possesses a specific musical feature, quality, or attribute.
  • D. hasTrack
    Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
  • E. hasCommonMusic
    Indicates that two entities share at least one piece of music preference, interest, or item in common.
  • F. None of above.

Provenance (4 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e2506881909fc4e81b9b79e873 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b956ce048190b377dd62f5b5b173 completed March 28, 2026, 11:19 a.m.
PD Predicate disambiguation batch_69c6e752385c819096fbab55566ee2a8 completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:50 p.m.