Triple

T16161677
Position Surface form Disambiguated ID Type / Status
Subject Rules of Engagement E392193 entity
Predicate openingTheme P2759 FINISHED
Object "How Many Ways" by Señor Happy
"How Many Ways" by Señor Happy is a pop-rock song best known as the theme music for the television sitcom "Rules of Engagement."
 E1198147 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: "How Many Ways" by Señor Happy | Statement: [Rules of Engagement, openingTheme, "How Many Ways" by Señor Happy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "How Many Ways" by Señor Happy
Context triple: [Rules of Engagement, openingTheme, "How Many Ways" by Señor Happy]
  • A. "The Many Ways"
    "The Many Ways" is an R&B song by Usher from his self-titled debut studio album.
  • B. So Many Ways
    So Many Ways is a Thoroughbred racehorse known for her success on the American racing circuit.
  • C. So Many Ways
    "So Many Ways" is a music single released under the independent label Ode Records.
  • D. “Never Felt This Way”
    “Never Felt This Way” is an R&B ballad by Brian McKnight featured on his self-titled debut album.
  • E. “Turn Up the Music”
    “Turn Up the Music” is a high-energy dance-pop song best known for its club-ready production and chart success, showcasing DJ Frank E’s mainstream pop and electronic production style.
  • 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: "How Many Ways" by Señor Happy
Triple: [Rules of Engagement, openingTheme, "How Many Ways" by Señor Happy]
Generated description
"How Many Ways" by Señor Happy is a pop-rock song best known as the theme music for the television sitcom "Rules of Engagement."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: "How Many Ways" by Señor Happy
Target entity description: "How Many Ways" by Señor Happy is a pop-rock song best known as the theme music for the television sitcom "Rules of Engagement."
  • A. "The Many Ways"
    "The Many Ways" is an R&B song by Usher from his self-titled debut studio album.
  • B. So Many Ways
    So Many Ways is a Thoroughbred racehorse known for her success on the American racing circuit.
  • C. So Many Ways
    "So Many Ways" is a music single released under the independent label Ode Records.
  • D. “Never Felt This Way”
    “Never Felt This Way” is an R&B ballad by Brian McKnight featured on his self-titled debut album.
  • E. “Turn Up the Music”
    “Turn Up the Music” is a high-energy dance-pop song best known for its club-ready production and chart success, showcasing DJ Frank E’s mainstream pop and electronic production style.
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5ffba88190b9dc7bb9afb6fdf2 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7b33f3481909fe856b8be7d9bcd completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff86a556c819096bc008e1ca76e8c completed May 10, 2026, 3:15 a.m.
NED2 Entity disambiguation (via description) batch_69fff926120081909f1042bf3a16ea10 completed May 10, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:02 a.m.