Triple

T5783690
Position Surface form Disambiguated ID Type / Status
Subject Weird Al Yankovic E128219 entity
Predicate notableWork P4 FINISHED
Object In 3-D
In 3-D is "Weird Al" Yankovic's 1984 comedy album that helped launch him to mainstream fame with parody hits like "Eat It."
 E546859 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: In 3-D | Statement: [Weird Al Yankovic, notableWork, In 3-D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: In 3-D
Context triple: [Weird Al Yankovic, notableWork, In 3-D]
  • A. The 305
    The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
  • B. Time for Three
    Time for Three is a genre-blending string trio known for fusing classical music with jazz, pop, and other contemporary styles in highly energetic performances.
  • C. The 33
    The 33 is a 2015 drama film that recounts the true story of the 2010 Chilean mining disaster and the rescue of 33 trapped miners.
  • D. The Sphere
    The Sphere was a British illustrated weekly newspaper and magazine known for its coverage of news, culture, and world events in the early 20th century.
  • E. The Third Condition
    The Third Condition is a notable work of Modern Hebrew literature recognized for its contribution to contemporary Hebrew narrative and culture.
  • 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: In 3-D
Triple: [Weird Al Yankovic, notableWork, In 3-D]
Generated description
In 3-D is "Weird Al" Yankovic's 1984 comedy album that helped launch him to mainstream fame with parody hits like "Eat It."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: In 3-D
Target entity description: In 3-D is "Weird Al" Yankovic's 1984 comedy album that helped launch him to mainstream fame with parody hits like "Eat It."
  • A. The 305
    The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
  • B. Time for Three
    Time for Three is a genre-blending string trio known for fusing classical music with jazz, pop, and other contemporary styles in highly energetic performances.
  • C. The 33
    The 33 is a 2015 drama film that recounts the true story of the 2010 Chilean mining disaster and the rescue of 33 trapped miners.
  • D. The Sphere
    The Sphere was a British illustrated weekly newspaper and magazine known for its coverage of news, culture, and world events in the early 20th century.
  • E. The Third Condition
    The Third Condition is a notable work of Modern Hebrew literature recognized for its contribution to contemporary Hebrew narrative and culture.
  • 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.