Triple

T18146688
Position Surface form Disambiguated ID Type / Status
Subject Scary Monsters (and Super Creeps) E434408 entity
Predicate hasPart P35 FINISHED
Object “Fashion”
"Fashion" is a song by David Bowie, known for its sharp critique of style culture and its distinctive, danceable post-punk/new wave sound.
E1307685 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: “Fashion” | Statement: [Scary Monsters (and Super Creeps), hasPart, “Fashion”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Fashion”
Context triple: [Scary Monsters (and Super Creeps), hasPart, “Fashion”]
  • A. In Fashion
    "In Fashion" is a song featured on Gregory Porter's acclaimed jazz-soul album "Take Me to the Alley."
  • B. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • C. "Allure"
    "Allure" is a smooth, introspective hip-hop track by Jay-Z from his 2003 album *The Black Album*, known for its reflective lyrics and polished production.
  • D. Fash-hole of the Week
    Fash-hole of the Week is a recurring Fashion Police segment that humorously calls out celebrities’ most egregious fashion missteps.
  • E. House of Style
    House of Style was an MTV fashion and pop culture television series that spotlighted models, designers, and trends, helping to popularize the world of high fashion for a mainstream audience.
  • 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: “Fashion”
Triple: [Scary Monsters (and Super Creeps), hasPart, “Fashion”]
Generated description
"Fashion" is a song by David Bowie, known for its sharp critique of style culture and its distinctive, danceable post-punk/new wave sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “Fashion”
Target entity description: "Fashion" is a song by David Bowie, known for its sharp critique of style culture and its distinctive, danceable post-punk/new wave sound.
  • A. In Fashion
    "In Fashion" is a song featured on Gregory Porter's acclaimed jazz-soul album "Take Me to the Alley."
  • B. Fashn
    Fashn is a city in Egypt located within the Beni Suef Governorate along the Nile River.
  • C. "Allure"
    "Allure" is a smooth, introspective hip-hop track by Jay-Z from his 2003 album *The Black Album*, known for its reflective lyrics and polished production.
  • D. Fash-hole of the Week
    Fash-hole of the Week is a recurring Fashion Police segment that humorously calls out celebrities’ most egregious fashion missteps.
  • E. House of Style
    House of Style was an MTV fashion and pop culture television series that spotlighted models, designers, and trends, helping to popularize the world of high fashion for a mainstream audience.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de34bb608190a4842e86f2912dec completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038554608c819080abf60da5f48a67 completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a03864b84608190b204b08351f1176b completed May 12, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0386b90e308190807af4d407840985 completed May 12, 2026, 7:59 p.m.
Created at: April 10, 2026, 10:29 a.m.