Triple

T12481077
Position Surface form Disambiguated ID Type / Status
Subject Don Eazi E298304 entity
Predicate notableSong P4 FINISHED
Object Leg Over
"Leg Over" is a popular Afrobeats song by Nigerian artist Mr Eazi that helped cement his international recognition.
 E985583 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: Leg Over | Statement: [Don Eazi, notableSong, Leg Over]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leg Over
Context triple: [Don Eazi, notableSong, Leg Over]
  • A. Cuff It
    "Cuff It" is a disco- and funk-inspired R&B song by Beyoncé from her 2022 album "Renaissance," celebrated for its upbeat groove and feel-good party vibe.
  • B. Too Short
    Too Short is an American rapper and pioneer of West Coast hip hop, known for his explicit lyrics and influential role in the Oakland rap scene since the 1980s.
  • C. Smack
    Smack (Simplified Mandatory Access Control Kernel) is a Linux kernel security module that implements a simple mandatory access control system to confine processes and protect data.
  • D. The Kick
    "The Kick" is a popular Afrobeats track by Nigerian singer Wande Coal, known for its catchy rhythm and dance-floor appeal.
  • E. Boogie Down
    "Boogie Down" is a 1983 R&B/disco single by former Temptations singer Eddie Kendricks that became one of his best-known solo hits.
  • 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: Leg Over
Triple: [Don Eazi, notableSong, Leg Over]
Generated description
"Leg Over" is a popular Afrobeats song by Nigerian artist Mr Eazi that helped cement his international recognition.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leg Over
Target entity description: "Leg Over" is a popular Afrobeats song by Nigerian artist Mr Eazi that helped cement his international recognition.
  • A. Cuff It
    "Cuff It" is a disco- and funk-inspired R&B song by Beyoncé from her 2022 album "Renaissance," celebrated for its upbeat groove and feel-good party vibe.
  • B. Too Short
    Too Short is an American rapper and pioneer of West Coast hip hop, known for his explicit lyrics and influential role in the Oakland rap scene since the 1980s.
  • C. Smack
    Smack (Simplified Mandatory Access Control Kernel) is a Linux kernel security module that implements a simple mandatory access control system to confine processes and protect data.
  • D. The Kick
    "The Kick" is a popular Afrobeats track by Nigerian singer Wande Coal, known for its catchy rhythm and dance-floor appeal.
  • E. Boogie Down
    "Boogie Down" is a 1983 R&B/disco single by former Temptations singer Eddie Kendricks that became one of his best-known solo hits.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcdcd3c81908ad29145db241408 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f29307c8190b024d889d45ba9f7 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f6437e88c881909b7f1d55c11b0825 completed May 2, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69f644464c0c8190a8d4ea4914d32e7f completed May 2, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:56 p.m.