Triple
T13069163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautifully Human: Words and Sounds Vol. 2 |
E329407
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
I Keep
"I Keep" is a soulful R&B track by Jill Scott, featured on her acclaimed album "Beautifully Human: Words and Sounds Vol. 2."
|
E1020377
|
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: I Keep | Statement: [Beautifully Human: Words and Sounds Vol. 2, hasPart, I Keep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Keep Context triple: [Beautifully Human: Words and Sounds Vol. 2, hasPart, I Keep]
-
A.
If You Wanna Keep Me
"If You Wanna Keep Me" is a song featured on the album *What Comes Naturally* by Sheena Easton.
-
B.
I’m Still
"I'm Still" is a track by DJ Khaled from his studio album "Suffering from Success."
-
C.
I Still
"I Still" is a contemporary Christian worship song known for its reflective lyrics about trust and perseverance in faith.
-
D.
Keeping On Keeping On
Keeping On Keeping On is a collection of diaries, essays, and reflections by British playwright and author Alan Bennett, covering his life, work, and observations from 2005 to 2015.
-
E.
I’ll Keep You Happy
"I’ll Keep You Happy" is a song by Ike & Tina Turner, best known as the B-side to their 1966 single "River Deep – Mountain High."
- 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: I Keep Triple: [Beautifully Human: Words and Sounds Vol. 2, hasPart, I Keep]
Generated description
"I Keep" is a soulful R&B track by Jill Scott, featured on her acclaimed album "Beautifully Human: Words and Sounds Vol. 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: I Keep Target entity description: "I Keep" is a soulful R&B track by Jill Scott, featured on her acclaimed album "Beautifully Human: Words and Sounds Vol. 2."
-
A.
If You Wanna Keep Me
"If You Wanna Keep Me" is a song featured on the album *What Comes Naturally* by Sheena Easton.
-
B.
I’m Still
"I'm Still" is a track by DJ Khaled from his studio album "Suffering from Success."
-
C.
I Still
"I Still" is a contemporary Christian worship song known for its reflective lyrics about trust and perseverance in faith.
-
D.
Keeping On Keeping On
Keeping On Keeping On is a collection of diaries, essays, and reflections by British playwright and author Alan Bennett, covering his life, work, and observations from 2005 to 2015.
-
E.
I’ll Keep You Happy
"I’ll Keep You Happy" is a song by Ike & Tina Turner, best known as the B-side to their 1966 single "River Deep – Mountain High."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60510dc81909e0cba8b63a50d9c |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6dbb4b8848190825102be81ff693a |
completed | May 3, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6dc705f28819087e5d374f83d3acc |
completed | May 3, 2026, 5:26 a.m. |
Created at: April 9, 2026, 9 p.m.