Triple

T22128661
Position Surface form Disambiguated ID Type / Status
Subject Mandatory Fun E546853 entity
Predicate hasTrack P3284 FINISHED
Object Word Crimes
"Word Crimes" is a parody song by "Weird Al" Yankovic that humorously critiques common grammar and language mistakes in the style of Robin Thicke's "Blurred Lines."
E1520818 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: Word Crimes | Statement: [Mandatory Fun, hasTrack, Word Crimes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Word Crimes
Context triple: [Mandatory Fun, hasTrack, Word Crimes]
  • A. Word Play
    "Word Play" is a track by A Tribe Called Quest featured on their 1996 hip-hop album "Beats, Rhymes and Life."
  • B. Wordshaker
    Wordshaker is the second studio album by British-Irish girl group The Saturdays, showcasing their uptempo pop sound and harmonies.
  • C. Bad Words
    Bad Words is a dark comedy film about a middle-aged man exploiting a loophole to compete in a children's spelling bee, marking Jason Bateman's feature directorial debut.
  • D. Words
    "Words" is a popular song by the Bee Gees, notable for its gentle melody and heartfelt lyrics that have made it a classic ballad.
  • E. Words
    "Words" is a song by the American rock band Train from their album "Save Me, San Francisco."
  • 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: Word Crimes
Triple: [Mandatory Fun, hasTrack, Word Crimes]
Generated description
"Word Crimes" is a parody song by "Weird Al" Yankovic that humorously critiques common grammar and language mistakes in the style of Robin Thicke's "Blurred Lines."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Word Crimes
Target entity description: "Word Crimes" is a parody song by "Weird Al" Yankovic that humorously critiques common grammar and language mistakes in the style of Robin Thicke's "Blurred Lines."
  • A. Word Play
    "Word Play" is a track by A Tribe Called Quest featured on their 1996 hip-hop album "Beats, Rhymes and Life."
  • B. Wordshaker
    Wordshaker is the second studio album by British-Irish girl group The Saturdays, showcasing their uptempo pop sound and harmonies.
  • C. Bad Words
    Bad Words is a dark comedy film about a middle-aged man exploiting a loophole to compete in a children's spelling bee, marking Jason Bateman's feature directorial debut.
  • D. Words
    "Words" is a popular song by the Bee Gees, notable for its gentle melody and heartfelt lyrics that have made it a classic ballad.
  • E. Words
    "Words" is a song by the American rock band Train from their album "Save Me, San Francisco."
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12983acfc81908013f66acb31f198 completed April 28, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f2727688190a31f6dc43ed24b5b completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a930c5af881909617ab27948b05e4 completed May 18, 2026, 4:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0a934aea4c8190915db711b3a0e7cf completed May 18, 2026, 4:19 a.m.
Created at: April 16, 2026, 8:32 p.m.