Triple

T4358832
Position Surface form Disambiguated ID Type / Status
Subject Tom Waits E98614 entity
Predicate notableAlbum P4 FINISHED
Object Bad as Me
Bad as Me is a critically acclaimed 2011 studio album by American singer-songwriter Tom Waits, noted for its raw, eclectic sound and vivid storytelling.
E433023 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: Bad as Me | Statement: [Tom Waits, notableAlbum, Bad as Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad as Me
Context triple: [Tom Waits, notableAlbum, Bad as Me]
  • A. It's Bad for Me
    "It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
  • B. Worst in Me
    "Worst in Me" is a pop song by American singer-songwriter Julia Michaels that showcases her confessional lyrics and emotionally charged style.
  • C. Better Than Me
    "Better Than Me" is a rock ballad by the American band Hinder, known for its emotional lyrics about regret and lost love.
  • D. The Worst
    "The Worst" is a breakout R&B single by Jhené Aiko, known for its minimalist production and emotionally raw lyrics about a toxic relationship.
  • E. Another Me
    Another Me is a psychological thriller film about a teenage girl haunted by a mysterious doppelgänger that blurs the line between reality and paranoia.
  • 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: Bad as Me
Triple: [Tom Waits, notableAlbum, Bad as Me]
Generated description
Bad as Me is a critically acclaimed 2011 studio album by American singer-songwriter Tom Waits, noted for its raw, eclectic sound and vivid storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bad as Me
Target entity description: Bad as Me is a critically acclaimed 2011 studio album by American singer-songwriter Tom Waits, noted for its raw, eclectic sound and vivid storytelling.
  • A. It's Bad for Me
    "It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
  • B. Worst in Me
    "Worst in Me" is a pop song by American singer-songwriter Julia Michaels that showcases her confessional lyrics and emotionally charged style.
  • C. Better Than Me
    "Better Than Me" is a rock ballad by the American band Hinder, known for its emotional lyrics about regret and lost love.
  • D. The Worst
    "The Worst" is a breakout R&B single by Jhené Aiko, known for its minimalist production and emotionally raw lyrics about a toxic relationship.
  • E. Another Me
    Another Me is a psychological thriller film about a teenage girl haunted by a mysterious doppelgänger that blurs the line between reality and paranoia.
  • 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_69b3454c772081908e20173e379e8ebe completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351e1bfa48190bb506d9ca1ed7b6a completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbbcb6188190a8a4da6a080f0d61 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dc7763488190b056ba759ac9fa73 completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd07854c8190ac55586d245028a6 completed March 14, 2026, 10:11 p.m.
Created at: March 12, 2026, 11:16 p.m.