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.