Triple

T11094317
Position Surface form Disambiguated ID Type / Status
Subject Parabola E262336 entity
Predicate hasTrack P3284 FINISHED
Object Some Kinda Mean
"Some Kinda Mean" is a song by the American rock band Parabola.
E904375 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: Some Kinda Mean | Statement: [Parabola, hasTrack, Some Kinda Mean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Some Kinda Mean
Context triple: [Parabola, hasTrack, Some Kinda Mean]
  • A. Mean to Me
    "Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
  • B. Our Kind of People
    Our Kind of People is an American drama television series that explores race, class, and Black elite society, in which Morris Chestnut plays a prominent role.
  • C. Our Kind of People
    Our Kind of People is a non-fiction book by Uzodinma Iweala that examines the social, cultural, and personal impact of the HIV/AIDS epidemic in Nigeria.
  • D. My Kinda Girl
    "My Kinda Girl" is an R&B song by Babyface from his acclaimed late-1980s album "Tender Lover."
  • E. The Best Kind of Different
    "The Best Kind of Different" is a memoir by Shonda Schilling that chronicles her family’s experiences raising a son with Asperger’s syndrome and advocates for greater understanding of autism.
  • 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: Some Kinda Mean
Triple: [Parabola, hasTrack, Some Kinda Mean]
Generated description
"Some Kinda Mean" is a song by the American rock band Parabola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Some Kinda Mean
Target entity description: "Some Kinda Mean" is a song by the American rock band Parabola.
  • A. Mean to Me
    "Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
  • B. Our Kind of People
    Our Kind of People is an American drama television series that explores race, class, and Black elite society, in which Morris Chestnut plays a prominent role.
  • C. Our Kind of People
    Our Kind of People is a non-fiction book by Uzodinma Iweala that examines the social, cultural, and personal impact of the HIV/AIDS epidemic in Nigeria.
  • D. My Kinda Girl
    "My Kinda Girl" is an R&B song by Babyface from his acclaimed late-1980s album "Tender Lover."
  • E. The Best Kind of Different
    "The Best Kind of Different" is a memoir by Shonda Schilling that chronicles her family’s experiences raising a son with Asperger’s syndrome and advocates for greater understanding of autism.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0783e88190aae3d461730c2d70 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7e0c7e4819098e690ffebbd8e61 completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.