Triple

T18820233
Position Surface form Disambiguated ID Type / Status
Subject Soft Cell E460243 entity
Predicate notableWork P4 FINISHED
Object Sex Dwarf
"Sex Dwarf" is a darkly humorous, synth-driven song by British duo Soft Cell, known for its provocative lyrics and cult status in the early 1980s new wave scene.
E1344033 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: Sex Dwarf | Statement: [Soft Cell, notableWork, Sex Dwarf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sex Dwarf
Context triple: [Soft Cell, notableWork, Sex Dwarf]
  • A. Txikiyana
    Txikiyana is a dialectal variety of the Tiriyó language spoken by an Indigenous community in the Amazon region of northern South America.
  • B. Short People
    "Short People" is a satirical 1977 pop song by Randy Newman that critiques prejudice and intolerance through its controversial, tongue-in-cheek lyrics.
  • C. Teeny
    Teeny is the nickname of Tina "Teeny" Tercell, a character known for her small stature and youthful, energetic personality.
  • D. Small Dub
    "Small Dub" is a track from the album "Have Fun With God," likely featuring a minimalist, echo-laden dub interpretation of one of the record’s themes.
  • E. Shorty
    Shorty is the stage name of Antonio "Shorty" Moore, an entertainer known for performing under this moniker.
  • 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: Sex Dwarf
Triple: [Soft Cell, notableWork, Sex Dwarf]
Generated description
"Sex Dwarf" is a darkly humorous, synth-driven song by British duo Soft Cell, known for its provocative lyrics and cult status in the early 1980s new wave scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sex Dwarf
Target entity description: "Sex Dwarf" is a darkly humorous, synth-driven song by British duo Soft Cell, known for its provocative lyrics and cult status in the early 1980s new wave scene.
  • A. Txikiyana
    Txikiyana is a dialectal variety of the Tiriyó language spoken by an Indigenous community in the Amazon region of northern South America.
  • B. Short People
    "Short People" is a satirical 1977 pop song by Randy Newman that critiques prejudice and intolerance through its controversial, tongue-in-cheek lyrics.
  • C. Teeny
    Teeny is the nickname of Tina "Teeny" Tercell, a character known for her small stature and youthful, energetic personality.
  • D. Small Dub
    "Small Dub" is a track from the album "Have Fun With God," likely featuring a minimalist, echo-laden dub interpretation of one of the record’s themes.
  • E. Shorty
    Shorty is a lesser-known musical act connected to the experimental rock band U.S. Maple, likely sharing its avant-garde, noise-influenced 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b9be988190b5e3804c39dc7dd9 completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bcc75e0819089a03d82965d3721 completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055d9a9da88190b974e8803ca8537f completed May 14, 2026, 5:28 a.m.
NED2 Entity disambiguation (via description) batch_6a055e1a22308190bb7f2337fabc5bdf completed May 14, 2026, 5:31 a.m.
Created at: April 10, 2026, 11:55 a.m.