Triple

T21672255
Position Surface form Disambiguated ID Type / Status
Subject EarthGang E534877 entity
Predicate hasNotableWork P4 FINISHED
Object Rags
Rags is an EP by the hip-hop duo EarthGang that helped establish their eclectic, Southern-influenced sound and lyrical style.
E1495958 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: Rags | Statement: [EarthGang, hasNotableWork, Rags]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rags
Context triple: [EarthGang, hasNotableWork, Rags]
  • A. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
  • B. Rags
    Rags is a 1986 Broadway musical with music by Charles Strouse that explores the struggles and aspirations of Jewish immigrants in early 20th-century America.
  • C. Rags and Bones
    "Rags and Bones" is a song by The Band featured on their 1975 album Northern Lights – Southern Cross.
  • D. Rags and All That Jazz
    Rags and All That Jazz is a vocal jazz album by the Swingle Singers that showcases their signature close-harmony arrangements of ragtime and jazz standards.
  • E. The Rag
    The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
  • 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: Rags
Triple: [EarthGang, hasNotableWork, Rags]
Generated description
Rags is an EP by the hip-hop duo EarthGang that helped establish their eclectic, Southern-influenced sound and lyrical style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rags
Target entity description: Rags is an EP by the hip-hop duo EarthGang that helped establish their eclectic, Southern-influenced sound and lyrical style.
  • A. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
  • B. Rags
    Rags is a 1986 Broadway musical with music by Charles Strouse that explores the struggles and aspirations of Jewish immigrants in early 20th-century America.
  • C. Rags and Bones
    "Rags and Bones" is a song by The Band featured on their 1975 album Northern Lights – Southern Cross.
  • D. Rags and All That Jazz
    Rags and All That Jazz is a vocal jazz album by the Swingle Singers that showcases their signature close-harmony arrangements of ragtime and jazz standards.
  • E. The Rag
    The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0cd7648190b9981393f0b2bee9 completed April 27, 2026, 4:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a15a7a19c8190a38ef90422f7feeb completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a16ac5ee881909ede61c149be61fa completed May 17, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17d9a48881908d9858e40d41674c completed May 17, 2026, 7:32 p.m.
Created at: April 16, 2026, 6:40 p.m.