Triple

T5388911
Position Surface form Disambiguated ID Type / Status
Subject 112 E120271 entity
Predicate album P1995 FINISHED
Object Hot & Wet
"Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
 E517535 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: Hot & Wet | Statement: [112, album, Hot & Wet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hot & Wet
Context triple: [112, album, Hot & Wet]
  • A. Hotter than July
    Hotter than July is a 1980 Stevie Wonder studio album blending R&B, soul, and reggae influences, best known for songs like "Master Blaster (Jammin')" and "Happy Birthday."
  • B. Caliente
    Caliente is an alternative name for the Kawaiisu language, a Native American language traditionally spoken by the Kawaiisu people of California.
  • C. Caliente
    Caliente is a small city in southeastern Nevada known for its historic railroad depot, hot springs, and scenic desert surroundings.
  • D. Too Darn Hot
    "Too Darn Hot" is a popular jazz-standard show tune by Cole Porter, originally written for the 1948 musical *Kiss Me, Kate* and later widely recorded by prominent vocalists.
  • E. Heat Wave
    "Heat Wave" is a popular rock and pop cover song performed by Linda Ronstadt, known for its energetic vocals and success on the charts in the mid-1970s.
  • 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: Hot & Wet
Triple: [112, album, Hot & Wet]
Generated description
"Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hot & Wet
Target entity description: "Hot & Wet" is a 2003 R&B album by American group 112 that blends smooth ballads with club-oriented tracks.
  • A. Hotter than July
    Hotter than July is a 1980 Stevie Wonder studio album blending R&B, soul, and reggae influences, best known for songs like "Master Blaster (Jammin')" and "Happy Birthday."
  • B. Caliente
    Caliente is an alternative name for the Kawaiisu language, a Native American language traditionally spoken by the Kawaiisu people of California.
  • C. Caliente
    Caliente is a small city in southeastern Nevada known for its historic railroad depot, hot springs, and scenic desert surroundings.
  • D. Too Darn Hot
    "Too Darn Hot" is a popular jazz-standard show tune by Cole Porter, originally written for the 1948 musical *Kiss Me, Kate* and later widely recorded by prominent vocalists.
  • E. Heat Wave
    "Heat Wave" is a popular rock and pop cover song performed by Linda Ronstadt, known for its energetic vocals and success on the charts in the mid-1970s.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd871573b48190aa60871be56847ae completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf336126ec8190ad6d59469eac07c5 completed March 22, 2026, 12:10 a.m.
NEDg Description generation batch_69bf340a51848190b4722f456f997833 completed March 22, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf34714e808190b06b47891ea31bbf completed March 22, 2026, 12:14 a.m.
Created at: March 20, 2026, 2:04 p.m.