Triple

T5783676
Position Surface form Disambiguated ID Type / Status
Subject Weird Al Yankovic E128219 entity
Predicate notableWork P4 FINISHED
Object Eat It
"Eat It" is a 1984 comedy parody song by "Weird Al" Yankovic that humorously imitates Michael Jackson's "Beat It" by focusing on picky eating and food-related jokes.
 E546846 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: Eat It | Statement: [Weird Al Yankovic, notableWork, Eat It]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eat It
Context triple: [Weird Al Yankovic, notableWork, Eat It]
  • A. Eat My Heart Out
    Eat My Heart Out is a darkly comic, feminist coming-of-age novel by British writer and critic Zoe Pilger that follows a young woman’s chaotic search for identity, love, and meaning in contemporary London.
  • B. Eat Your Young
    "Eat Your Young" is a 2023 song by Irish musician Hozier that blends soulful vocals with dark, socially charged lyrics.
  • C. Eat That Rat
    Eat That Rat is a track from the album "Animal Boy" by the American punk rock band Ramones.
  • D. I Love to Eat
    I Love to Eat was an early American cooking television show hosted by pioneering chef and food writer James Beard.
  • E. Eat My Dust
    Eat My Dust is a high-energy racing track featured in the game Mutable Set, known for its fast-paced design and competitive gameplay.
  • 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: Eat It
Triple: [Weird Al Yankovic, notableWork, Eat It]
Generated description
"Eat It" is a 1984 comedy parody song by "Weird Al" Yankovic that humorously imitates Michael Jackson's "Beat It" by focusing on picky eating and food-related jokes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eat It
Target entity description: "Eat It" is a 1984 comedy parody song by "Weird Al" Yankovic that humorously imitates Michael Jackson's "Beat It" by focusing on picky eating and food-related jokes.
  • A. Eat My Heart Out
    Eat My Heart Out is a darkly comic, feminist coming-of-age novel by British writer and critic Zoe Pilger that follows a young woman’s chaotic search for identity, love, and meaning in contemporary London.
  • B. Eat Your Young
    "Eat Your Young" is a 2023 song by Irish musician Hozier that blends soulful vocals with dark, socially charged lyrics.
  • C. Eat That Rat
    Eat That Rat is a track from the album "Animal Boy" by the American punk rock band Ramones.
  • D. I Love to Eat
    I Love to Eat was an early American cooking television show hosted by pioneering chef and food writer James Beard.
  • E. Eat My Dust
    Eat My Dust is a high-energy racing track featured in the game Mutable Set, known for its fast-paced design and competitive gameplay.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a184870819084251554eae1e33c completed March 22, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098112a1c8190a8aacb208c544959 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098f32f7081908d9306afc30147a1 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c0996fb9148190ae8c09f4816d00b8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:50 p.m.