Triple

T13893400
Position Surface form Disambiguated ID Type / Status
Subject Erotica (album) E334027 entity
Predicate hasPart P35 FINISHED
Object Bad Girl
"Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
E1067603 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 Girl | Statement: [Erotica (album), hasPart, Bad Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Girl
Context triple: [Erotica (album), hasPart, Bad Girl]
  • A. Bad Girl
    "Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
  • B. Little Bad Girl
    "Little Bad Girl" is a dance-pop and electro house single by French DJ and producer David Guetta, featuring Taio Cruz and Ludacris.
  • C. Good Girl
    "Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
  • D. Good Girl Gone Bad
    Good Girl Gone Bad is Rihanna's critically acclaimed 2007 pop and R&B album that marked her transition to a more edgy, mature image and sound.
  • E. Damn Girl
    "Damn Girl" is a funk-influenced dance track by Justin Timberlake featuring will.i.am from his 2006 album FutureSex/LoveSounds.
  • 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 Girl
Triple: [Erotica (album), hasPart, Bad Girl]
Generated description
"Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bad Girl
Target entity description: "Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
  • A. Bad Girl
    "Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
  • B. Little Bad Girl
    "Little Bad Girl" is a dance-pop and electro house single by French DJ and producer David Guetta, featuring Taio Cruz and Ludacris.
  • C. Good Girl
    "Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
  • D. Good Girl Gone Bad
    Good Girl Gone Bad is Rihanna's critically acclaimed 2007 pop and R&B album that marked her transition to a more edgy, mature image and sound.
  • E. Damn Girl
    "Damn Girl" is a funk-influenced dance track by Justin Timberlake featuring will.i.am from his 2006 album FutureSex/LoveSounds.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71ca8a881908ac02687fbfe62fb completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7e1247481908073c1e282c3619f completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c8f2b5588190b6143d676eb648a0 completed May 3, 2026, 10:15 p.m.
Created at: April 9, 2026, 10:15 p.m.