Triple

T1628100
Position Surface form Disambiguated ID Type / Status
Subject K.T.S.E. E35190 entity
Predicate hasTrack P3284 FINISHED
Object No Manners
"No Manners" is a song by American singer Teyana Taylor from her 2018 R&B album "K.T.S.E."
 E185000 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: No Manners | Statement: [K.T.S.E., hasTrack, No Manners]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: No Manners
Context triple: [K.T.S.E., hasTrack, No Manners]
  • A. Men Without Women
    Men Without Women is a 1927 short story collection by Ernest Hemingway that explores themes of masculinity, loss, and emotional isolation through his characteristic sparse, understated prose.
  • B. Shut Up
    "Shut Up" is a 2003 pop and R&B-influenced single by the Black Eyed Peas that became one of their early international hits.
  • C. Troublemaker
    Troublemaker is a card in the Uno game that typically introduces disruptive or challenging effects to alter normal gameplay.
  • D. It's Bad for Ya
    "It's Bad for Ya" is a 2008 stand-up comedy special by George Carlin, known for its sharp social commentary and being his final HBO performance before his death.
  • E. Tell Me No
    "Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
  • 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: No Manners
Triple: [K.T.S.E., hasTrack, No Manners]
Generated description
"No Manners" is a song by American singer Teyana Taylor from her 2018 R&B album "K.T.S.E."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: No Manners
Target entity description: "No Manners" is a song by American singer Teyana Taylor from her 2018 R&B album "K.T.S.E."
  • A. Men Without Women
    Men Without Women is a 1927 short story collection by Ernest Hemingway that explores themes of masculinity, loss, and emotional isolation through his characteristic sparse, understated prose.
  • B. Shut Up
    "Shut Up" is a 2003 pop and R&B-influenced single by the Black Eyed Peas that became one of their early international hits.
  • C. Troublemaker
    Troublemaker is a card in the Uno game that typically introduces disruptive or challenging effects to alter normal gameplay.
  • D. It's Bad for Ya
    "It's Bad for Ya" is a 2008 stand-up comedy special by George Carlin, known for its sharp social commentary and being his final HBO performance before his death.
  • E. Tell Me No
    "Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622ca9bc8190b99e90295cb01646 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d3808c819086a4a66e66905e8a completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a7f592881909b8fd45444e6d715 completed March 8, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ad5b64a1f0819087338ee504f70f5c completed March 8, 2026, 11:20 a.m.
Created at: March 4, 2026, 7:28 p.m.